Data science is an essential part of any industry today, given the massive amounts of data that are produced. Data science is one of the most debated topics in the industries these days. With its growing popularity, the jobs related to data science are also growing. Here are the latest data science jobs one can apply for this weekend.

Data scientist at Hire Digital

Location: Kolkata, West Bengal

Responsibilities

• Design and implement machine learning models.
• Work closely with data engineers to set up data warehouses and pipelines that will feed into predictive or analytical models.
• Design and implement machine learning pipelines taking into account costs, accuracy, and technical risks.
• Work closely with cross-functional teams to understand business requirements and make appropriate technical recommendations.
• Identify opportunities from in-house big data to improve business performance (data mining).

Requirements

• 5-7 years of experience in applying AI/ML and data science techniques to solve business problems.
• Degree in Computer Science.
• Any software engineering and product shipping experience is a plus.
• Background in the Consumer-Packaged Goods industry is a plus.
• Good communication, analytical and conceptual skills.
• Self-driven, a hunger for learning, and a penchant for teamwork.

Data scientist at PayPal

Location: Chennai, Tamil Nadu

Primary responsibilities:

• Conceive, design, and monitor fraud risk management strategies to manage fraud losses and improve business profitability for consumer lending products
• Identify opportunities and gaps within the current portfolio of PayPal’s Fraud Risk controls, including continuously evolving fraud trends
• Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense, and loss exposure
• Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
• Monitor performance of existing & new solutions and optimize to ensure desired results
• Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance, and other teams to formulate and execute fraud risk solutions
• Collaborate with external partners, including external credit/banking partners and data vendors

Education & Required Skills:

• Bachelor’s degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
• 2-5 years proven credit or fraud risk analytics experience or equivalent
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
• Proficiency in SQL and Excel. Proficiency in at least one statistical analysis tool: SAS / R / Python
• Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis
• Ability to contribute to strategic discussions and represent Risk in cross-functional meetings
• Ability to manage a large, diverse set of to-dos – prioritize, stay on top of multiple workstreams, monitor progress
• Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
• Experience working with cross-functional, geographically distributed teams, managing by influence is a plus.

Data Analyst at Uber

Location: Hyderabad, Telangana

The company is looking for a skilled Data Analyst to join their FinTech – Data Analytics team at Uber, Hyderabad to support their downstream financial systems. In this role, the employee will get an incredible opportunity to leverage analytics and science to get insights from financial data, help develop their financial reporting systems, detect anomalies in data, and streamline reporting of various financial metrics. The company will work closely with senior leaders in Finance, Product, Data Science, Engineering, and other stakeholders on fast-moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role (financial knowledge is not expected to apply for this role but is a plus). Their performance is measured by the insights the employee gives, the effectiveness of communication, and the initiative to drive ideas and implement them into action.

Data Scientist at Volumetree

Location: Chandigarh

Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake to preprocess of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements

• Can work independently
• Proven experience as a Data Scientist or Data Analyst
• Knowledge of SQL Python and ML
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset
• Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g., statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred
• Understand business requirement
• KPI identification

Data Engineer at Fortunefootprints.com

Location: Bengaluru, Karnataka

Responsibilities:

• Design and implement the data processing pipelines for different kinds of data sources, formats, and content for the Near Platform. Working with huge Data Lakes, Data Warehouse and Data Marts are part of this challenging role.
• Design and develop solutions that are scalable, generic, and reusable.
• Responsible for collecting, storing, processing, and analyzing huge sets of data that is coming from different sources.
• Develop techniques to analyze and enhance both structured/unstructured data and work with big data tools and frameworks.
• Collaborate closely with Data Scientists and Business Analysts to understand data and functional requirements.
• Design, build and support existing data pipelines to standardize, clean, and ingest data.
• Participate in product design and development activities supporting Near’s suite of products.
• Liaise with various stakeholders across teams to understand business requirements.

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Along with the increasing demand for decision-making, the data science jobs to apply also grows

Data scientists are one of the most sought-after roles in the corporate world. As organizations with enormous data and the right data science talents seek more meaningful outputs, executives believe that it can drive more value and enrich their company’s stance. This has drastically surged the need for experts who can gather, study, and understand data to make business decisions. As a result, the demand for data scientists continues to grow even as the overall job market is in jeopardy. Many top companies are opening the door for data science jobs, and are willing to pay high salaries, with other benefits included. But along with the demand, the expectations for data science jobs to apply also grow. The title ‘data scientists’ may soon become obsolete as new technologies change the responsibilities of the profession. Recent data science jobs to apply also demands the candidates be technological mature and bring profit to the company. In this article, Analytics Insight has listed the top data science jobs to apply for this week, especially for aspirants.

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Top Data Science Jobs to Apply for This Week

Senior Data Scientists at Flipkart

Location: Bengaluru, India

About the company: Flipkart Private Limited, is an Indian e-commerce company established in 2007. Flipkart started with a primary focus on online book sales and soon expanded to lifestyle products, electronics, home essentials, and even groceries.

Roles and responsibilities: As a Senior Data Scientist at Flipkart, the candidate is expected to drive research and development of various machine learning and statistical models, keeping business goals and product planning at the front. He/she should be able to communicate and collaborate with multiple stakeholders representing various teams. They should understand business and product needs and use advanced modelling techniques to provide fashion to the trends. The candidate should develop research and hypothesis on problem statements around ongoing work to provide additional value to the organization.

Qualifications

• The candidate should hold a B.Tech degree in Computer Science or Statistics.
• He/she is mandated to have over 8 years of professional experience through publications or deployed solutions or projects.
• They should have a deep understanding of applied statistical analysis and predictive modelling is desired.
• The candidate should have standard proficiency in Python or R.

Senior Data Scientist – Adv ML at Optum Global Solutions

Location: Noida, India

About the company: Optum Global Solutions, is a healthcare solution unit of UnitedHealth Group. The company’s deep expertise, advanced analytics, and innovative technology help its customers drive sustainable health economics and more personalized care.

Roles and responsibilities: As a data scientist at Optum, the candidate is expected to conduct and manage outcomes of various studies that include analyzing, reviewing, forecasting, trending, and presenting information for operational and business planning. He/she should support short and long term operational strategies and business activities by developing, enhancing, and maintaining operational information and models. Their primary responsibilities include owning the delivery of projects by working closely with cross-functional data science, data engineering, and project management teams in the role of a lead.

Qualifications

• The candidate should have at least six years of professional experience in the data science field.
• He/she should also have extraordinary skills to solve real-world problems using advanced machine learning techniques.
• They should hold strong theoretical and practical knowledge of some of the most machine learning techniques like Random Forest, Support Vector, Machine, Gradient Boosting Machine, XGBoost, etc.
• The candidate should have a strong theoretical and practical knowledge of deep learning techniques.

Data Scientist at HCL

Location: Noida, Chennai- India

About the company: HCL Technologies, is a leading global IT services company that helps global enterprises re-imagine and transform their businesses through digital technology transformation. The company is primarily engaged in providing a range of software services, business process outsourcing, and infrastructure service.

Roles and responsibilities: The Senior Data Scientists, should perform advanced analysis and create machine learning models for various industries. He/she should work closely with the customer, subject matter experts, and business developers. For each project, the candidate should thoroughly go through the domain and the customers to identify the customer’s data and analytic needs and then visualize an end-to-end analytic solution.

Qualifications

• The candidate should have a Master’s or PhD degree in Math or computer science, or any quantitative field with additional experience.
• He/she should be an expert in applying machine learning algorithms for anomaly detections, regressions, classifications, time-series forecasts, etc.
• They should have good scripting skills in Python or R.
• Experience in image analysis, optimizations, and logistics are also required.

Data Scientist: Advanced Analytics at IBM

Location: Mumbai, India

About the company: IBM, also known as International Business Machines Corporation, is an American global consulting and technology conglomerate. It builds and advertises computer hardware and software, and provides hosting, infrastructure, and consulting facilities in fields that range from nanotechnology to mainframe computers.

Roles and responsibilities: As a Data Scientist: Advanced Analytics at IBM, the candidate is expected to transform the company’s client data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. He/she should work with the IBM Q Start team on active exploratory research engagement to prepare for future use case commercialization within a specific industry. They should engage and educate client data science teams to define promising areas of quantum explosion.

Qualifications

• The candidate should hold a PhD or Masters degree in STEM-related fields with knowledge in quantum computing.
• He/she should have five years of data engineering or data science experience.
• They should have proficiency in the classical approach to machines and linear algebra, including support vector machine (SVM) for linear categorization and singular value decomposition (SVD) to reduce the dimensionality of data.

Data Scientists and Engineers at Pfizer Limited

Location: Chennai, India

About the company: Pfizer, is a research-based global biopharmaceutical company that is engaged in the discovery, deployment, manufacturing, marketing, sales, and distribution of biopharmaceutical products. Its global portfolio includes medicines and vaccines.

Roles and responsibilities: The data scientists or engineers working at Pfizer is expected to provide expert advanced modelling and data analytics support to all teams in the manufacturing intelligence organizations and support of project execution at PGS manufacturing sites. He/she should work on supporting the development, testing, deployment, and qualification of process soft sensor models. They should stay abreast of industry 4.0 trends and development in artificial intelligence, machine learning, and work with other MI teams to pilot new advances to drive value for PGS.

Qualifications

• The candidate should have a relevant degree and background in Engineering, Mathematics, Statistics, Physics, Chemistry, Computer Science, or a related technical field with a strong focus on advanced analytics.
• He/she should have data analytics or modelling experience with domain expertise and industrial exposure.
• They should also have data science, ML, and AI experience including Scikit Learn, TensorFlow, and PyTorch libraries.

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These are the top freelance jobs for Artificial intelligence professionals

Artificial intelligence is gaining a lot of attention recently. Industries are implementing more AI solutions and tools because it enhances efficiency, reduces manual labor, and helps businesses earn better revenues simultaneously. In areas like medical diagnosis, speech translation, accounting, AI has outperformed humans in every possible way.

AI has not only generated profits for businesses but has also created numerous job opportunities. Recent studies reveal that individuals from both tech and non-tech backgrounds are aspiring to pursue a career in artificial intelligence, which will also fulfill the growing demands of skilled AI professionals in the tech industry.

This article provides a list of the top freelancing jobs for individuals aspiring to pursue an AI career.

• R Algorithm Developer: This job profile requires the candidate to perform machine learning operations like classification and regression. R programming provides various packages and features for developing AI neural networks. According to Toptal, the estimated length for this job role provided by a marketing and advertising company is 1-2 weeks, on a part-time basis.

• R Mentor: This opportunity is provided by a technology company with global operations and high-end partners. The company is looking for a mentor to work on R programming and assist others to help approach the problems concerning R. The estimated length for this job role is 2-4 weeks with remote working facilities.

• Model Interpretability Machine Learning: According to Upwork, for this job role, the candidate has to build a machine learning model on a provided database by the recruiting company. The company will allow the selected candidate to choose from a list of platforms, according to one’s proficiency, based on which the application will be developed. The estimated period for this job is less than a month and allows remote working.

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• AI Project Manager: This job entails working on implementing AI and machine learning onto e-learning platforms. The company is looking for a project manager who will assist and supervise a team of AI The estimated duration for this role is 3 to 6 months for 30 hours per week.

• Software Developer to develop Research and Analysis Tool for Amazon: The company is looking for a full-stack software developer/web developer to make a research and analysis tool for Amazon. The tool would be cloud-based with front and backend development and CRM management. The duration of this role will be discussed after the candidate is hired.

• Data Scientist: This job requires an AI professional with over 4 years of experience in the field to develop a recommendation engine. The candidate must be familiar with different programming languages like R, Python, and Spark, and should also be adept in natural language processing. Excellent communication and collaboration skills will be a bonus to get hired. The duration of this job is 3 to 6 months with less than 30 hours of work per week.

• Topic Modeling (NLP) in Python: For this job, the candidate has to carry out topic modeling of reviews using LDA or any other procedures best suited for the job. The candidate has to use the trial-and-error method until an optimal number of the most distinct topics is reached. The candidate also has to use AI algorithms to classify new reviews into topics. The company is looking for someone with intermediate experience in the field and is providing remote working facilities.

The post TOP FREELANCE JOBS FOR ARTIFICIAL INTELLIGENCE PROFESSIONALS appeared first on Artificial Intelligence.

Top data science jobs one should apply this weekend

Data science deals with the structuration, of scattered data and analyses them by using several types of tools and make data analysis models. Almost every organization is appointing data scientists at present to get better business value. The following are the latest data science jobs one can apply for this weekend.

Data Scientist at Cognizant

Location: Chennai, Tamil Nadu

Key Responsibilities

• Discover the information hidden in structured & unstructured data by applying data mining techniques, doing statistical analysis, and building high-quality prediction systems
• Evaluating business problems for suitability & feasibility of a predictive solution
• Evaluating & identifying the right machine learning and data science techniques & toolsets to address a variety of predictive analytics problems
• An individual contributor as well as a guide to the fellow team members in the discovery, design, and development of analytical models
• Working with functional & technical teams in the development, pilot & optimization of tools and models using machine learning & Natural Language Processing

Qualifications & Skills

• Advanced degree in statistics, computer science, machine learning, or related fields such as econometrics
• Professional experience in software engineering, with a good understanding of the Information Technology industry
• Experience in data mining (structured/unstructured data) & machine learning experience, with a proven ability to design and develop solutions across ML landscape (supervised, unsupervised, semi-supervised, etc.)

Data Science ML Consultant at Accenture

Location: Bengaluru, Karnataka

Responsibilities

• Data Manipulation & Hardcore passion for -Programming – Python & R
• ETL fundamentals
• Visual Story Telling with Data Visualization – R Shiny / Tableau / Power BI / Spotfire / BO
• Advanced Excel including VBA and PowerPoint skills

Education

• Master’s Degree (Statistics / Econometrics / Economics / Mathematics / Actuarials) or other relevant streams
• E / B. Tech. / M. Tech – proven track of passion for Data Science
• Premier Research Focused Institutes – IIT’s / REC’s / TISS / DSE / IISC etc.

Soft Skills

• Relevant Certifications in Programming & data science
• Excellent written and oral communication skills with the ability to clearly communicate ideas and results to non-technical business people
• You are laser-focused on delivering outcomes with speed and agility
• You are self-driven and thrive in ambiguity

Data Analyst at Amazon

Location: Bengaluru, Karnataka

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, Operations Research, Math, or related discipline.
• Minimum 2+ years of experience as an Analyst role preferred.
• Highly proficient in Microsoft Office and Windows-based applications.
• SQL Knowledge and Hands-on experience are a must.
• Demonstrated Analytical ability, results-oriented environment with external customer interaction.
• Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
• Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.

Preferred Qualifications

• Experience with E-Commerce, Retail, and Business Analytics would be an advantage.
• Understanding of data warehousing, data modeling concept, and building new DW tables
• Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms

Executive-Data Scientist at NielsenIQ

Location: Greater Vadodara Area

GDDC is responsible for all Design related activities in Data science. GDDC is responsible for setting up the base of any product like retail index, E-comm, Cash & Carry, Scan track service (new/existing). They work closely with all the stakeholders to understand the client requirements & provide recommendations/suggestions to best build up the product which balances expectations from both the client and methodological requirements. The GDDC team is responsible for processes starting from scope definition to panel sample design which would include processes like Sample design, extrapolation…

Data Scientist at PayPal

Location: Chennai, Tamil Nadu

Responsibilities

• Partner with stakeholders (Product, Engineering, Design) on SMB products to build world-class products and experiences
• Identify key metrics, conduct rigorous explorative data analysis, and build business cases that drive decision-making and product prioritization.
• Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
• Recommend A/B testing framework and measure the impact of product initiatives in an unbiased way.
• Drive automation of the repetitive processes, and build self-serve tools (eg: Tableau Dashboards) to empower product stakeholders

Requirements:

• The data-driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
• 5+ of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions.
• Fluent in SQL, Excel, and visualization tools such as Tableau or Qlikview; experience with a statistical programming language like R or Python preferred
• Strong communication skills, both written and verbal, to influence cross-functional teams
• Prior work experience in a product analytics space would be highly valued.

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Data science jobs combine computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations. Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges. A data scientist’s work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database.

Data Scientist at PhonePe

Location: Bengaluru, Karnataka

About the company

PhonePe is India’s leading digital payments platform with over 280 million registered users. Using PhonePe, users can send and receive money, recharge mobile, DTH, data cards, pay at stores, make utility payments, buy gold, and make investments. PhonePe went live for customers in August 2016 and was the first non-banking UPI app and offered money transfer to individuals and merchants, recharges, and bill payments to begin with.

Responsibilities

The company is looking for senior data scientists who will work on applications related to financial services. They will work in a dynamic environment, and with cross-functional teams to assist those teams in every possible manner to ensure that our products help our users derive the most value. They will be expected to work with product, business, & engineering teams to help them understand what data science can do for them and set the right expectations, to analyze large volumes of data, and implement and deploy solutions as necessary. They should be able to clearly communicate results and recommendations to various stakeholders, They would need to evaluate the effectiveness of the solutions and improve upon them in a continuous manner. The company expects them to have a mix of a strong technical background, the ability to understand the business implications of their work, and the ability to empathize with our users and work towards helping PhonePe give them the best experience, and help and mentor junior members to become better data scientists.

Qualifications

• A Bachelor’s or higher degree in a quantitative discipline (computer science, statistics,
  engineering, applied mathematics)
• 6 – 7 years relevant work experience with a Bachelor’s degree, or 3-4 years relevant
  experience with a Master’s degree
• Specific technical skills include
• Expertise in Java, Python, R, shell scripting languages.
• Expertise in querying relational, non-relational, graph databases.
• Ability to clearly communicate and work with people of different backgrounds.
• Experience in big data technologies (Spark, MapReduce, Pig, Hive)
• Experience using machine learning (structured, text, video data) libraries
  (preferably in Python), deep learning (Tensorflow, PyTorch)
• Experience using visualization libraries
• Good to have: Hands-on experience with source control and deployment tools (Git,
  Jenkins, etc.)

Data Science Consultant at Wipro Limited

Location: Bengaluru, Karnataka

About the Company

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. They harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, a strong commitment to sustainability, and good corporate citizenship, they have over 190,000 dedicated employees serving clients across six continents. Together, they discover ideas and connect the dots to build a better and bold new future.

Skills

As a consultant, the employees should have in-depth knowledge in any one technological or industry practice / functional area and an overview of 2-3 other areas. They should handle solution definition/ fitment for a small-sized project with medium complexity and should be able to build a custom Function Module with medium complexity program logic.

Data Scientist at Winfort

Location: Bangalore, Karnataka

Responsibility

• Develop Artificial intelligence solutions for client’s business problems to drive business outcome
• Develop data platforms to support analytical and AI/ML solutions
• Develop end-to-end integrated applications for operationalizing AI/ML models and Insights
• Develop impactful presentations to convey insights to a technical and non-technical audience
• Contribute to internal innovation development charted by leveraging
• Contribute to internal competency building initiatives on Analytics and AI / ML areas
• Support consulting and sales team in relevant opportunities

Skills & Experience

• Master’s in Business Administration / Engineering / Statistics / Economics / Operations Research / Computer Science / Data Science
• Experience in developing Artificial Intelligence applications leveraging Statistical / Machine Learning / Deep learning methodologies
• Data Visualization (technology agnostic)
• SQL, R or Python, Hive, Spark,

Associate Data Scientist at Shell

Location: Chennai, Tamil Nadu

Job Description:

• This position is part of Finance & Data Operations, Data Science team handling Contracting and Procurement (CP) portfolio, which delivers tangible value to Shell’s Supply Chain business through advanced analytical/Data Science projects
• The individual should demonstrate the skills and ability to take on advanced analytics projects, develop analytical solutions by collaborating with the business stakeholders/partners working across a range of technologies and tools
• The individual should design and articulate the data science solution relevant to Shell’s Supply Chain problems/opportunities in business-friendly language and explain the workings of the model for business adoption
• The ideal candidate should have a strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and should have applied those skills in solving real-time problems across different businesses/functions
• The candidate should provide support to the Team Lead in managing and executing projects.

Functional Skills

Skills / Requirements

• Prior experience in the Supply Chain industry as an analytics / Data Science / BI professional
• Knowledge of Upstream / Downstream Supply chain and business drivers
• The incumbent is responsible for working on a range of technologies and tools collaborating directly with the central MSC stakeholders, MSC asset focal teams across different business
• Experience in SAP systems specifically in Plant maintenance (PM) and Materials management modules (MM)
• Applied Data science expertise in Demand & Supply Chain planning/forecasting, Inventory planning/optimization, Material management, Spend Analytics.
• Proficiency Level: Skill-to-Mastery

Technical Skills

• Deep expertise in quantitative fields (Statistics / Mathematics) and comfortable in working with a large amount of data
• Expertise in Inferential statistics, Multivariate Analysis, Time Series, Machine learning techniques (supervised and unsupervised), and Text Mining
• Strong experience in Data Science tools and technologies like Python, R, PowerBI, Alteryx, Spotfire
• Ability to search, extract, load & visualize data from databases using pre-defined reports and new ad hoc queries (using BI self-service)
• Strong analytical mindset and a real passion for Data, drilling data for insight, and learning new things every day in a pro-active way
• Capacity to present the data by storytelling in an easy and compelling way

Stakeholder Engagement Skills

• Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data experts/engineers, R&D teams, UI/UX designers to deliver on project deliverables and tasks
• User-focused – Continuous engagement with end-users and align any solution development to their needs
• Ability to articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
• Ability to proactively recommend multiple approaches along with their pros & cons to the stakeholders and support making the right decisions
• Proficiency Level: Skill-to-Mastery

Data Scientist at TCS

Location: Chennai, Tamil Nadu

Required Technical Skill Set:

• Machine learning and Deep learning skills: Python, Pyspark, OpenCV, Tensorflow or PyTorch, Scikit learn
• Cloud Platform skills: Microsoft Azure Machine Learning or Amazon Web Services Sage Maker
• Visualization Tools: Plotly, Seaborn, Streamlit

Must-Have :

1. Python with Machine learning or Deep learning packages

2. Pyspark

3. Tensorflow

4. Microsoft Azure Machine Learning or Amazon Web Services Sage Maker

5. Plotly or Seaborn or Streamlit

6. A graduate or postgraduate in Engineering in Mechanical, Chemical, Electrical or Electronics with strong mathematical background

Good-to-Have :

1. Solid background in the fundamentals of formulation of the problem statements, system modeling, and machine learning for solving industrial problems.

2.  Skilled in data visualization techniques and handling data engineering ETL of large sets of time series

3. Ability to apply multiple algorithms or architectures of ML or DL and recommend the best model with explainability

4. Build, train and test data science models with First principle-based engineering model of machine or process using data from IoT system

5. Very good Communication and Presentation skills

Responsibility of / Expectations from the Role:

• The associate will be working on building Cognitive business solutions that will give actionable insights by the systematic application of machine learning techniques and deep learning techniques
• Ability to interpret complex Industrial business requirements and translating them into analytical problems to deliver high-value outputs
• A dedicated individual with a commitment towards continuous learning and apply engineering knowledge, Mathematics, Statistics to build an AI model of state of art research

The post TOP DATA SCIENCE JOBS ONE CAN APPLY FOR THIS WEEKEND appeared first on Artificial Intelligence.

Let’s Check on The Top 10 Highest Paying Jobs in Technology for 2021.

With the evolution of modern technology and wholesome digital transformation, there is enormous availability of the highest-paid jobs in technology. In the past career options were limited, there were only a few jobs in specific industries like medicine or IT. But now there are ample opportunities where one person can get certified even when they are still working.

Want to give your career a good start and to make sure about your skillset?

Here is the list of the top 10 highest-paid tech jobs for you.

1. Data Scientist

For any organization today, data is the most valuable asset. Therefore, the key responsibility of a data scientist stands to analyse and identify all data that are collected and then interpret the complex variables and forms of those data. For becoming a data scientist, one needs to have enough knowledge about machine learning, data visualization, deep learning, mathematics, computer science.

Job role for data scientists-

• Constructing data models
• Coding languages like Python and other analytical tools
• Understanding and working with machine learning algorithms
• Detecting business problems and providing solutions
• Data scientists can earn as much as $150,000 per annum

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2. Big Data Architect

Users generate over 2.5 quintillion bytes of data daily, but this data in its raw form is impractical and useless. Therefore, over 98% of organizations are investing in Big Data to identify and analyze these data and interpret them. Here stands the need for Big Data architects. Job role for Big Data architect- planning, designing, and managing large-scale deployments of Big Data applications from beginning to end. Skills required for this role are programming skills, data visualization skills, communication skills.

The average salary for a Big Data architect is $140,000 per annum.

3. IoT (Internet of Things) Solutions Architect

One of the fastest-growing technology today is the Internet of Things (IoT). It caters to swift and flawless data sharing by using AI and machine learning. The IoT solutions architect connects the gap between technical and non-technical roles. An IoT solutions architect is responsible for leading and participating in all activities related to architecture and design. An IoT architect should have skills such as hardware design and architecture, strong programming skills, knowledge of Machine Learning.

IoT Architects can earn an average of $130,000 per annum.

4. Software Architect

The main job of a software architect is optimizing the development process by making choices related to design and creating technical standards of coding, tools, and platforms. They are hired by the organization for testing and developing software for them. The job role for software architects is understanding customer demands and perform hands-on work to develop software prototypes. Mandatory skills to become a software architect are understanding software architecture, programming skills, strong analytical skills, and data modeling.

The demand for software architects is very high, with organizations paying well over $114,000 per annum.

5. Blockchain Engineer

This technology constitutes links of chains of information and data that keep getting added to a particular network. A blockchain engineer with the help of blockchain technology develops and implements architecture and solutions. Thorough understanding of Ripple, R3, Ethereum, Bitcoin, etc; understanding of consensus methodologies and the security protocol stacks, crypto libraries, and functions; strong programming skills are required for a blockchain engineer.

As a blockchain engineer, one can earn an average of $150,000 a year.

6. Artificial Intelligence (AI) Architect

The task of an AI architect is to define, identify, design, and build solutions that cater to growth and productivity for organizations through automation. To become an AI architect, skills such as deep knowledge of mathematics and statistics, Solid programming skills with knowledge of Python, R, and Torch, working knowledge of TensorFlow and similar technologies, understanding of technologies related to AI like Machine Learning, neural networks, and Deep Learning are required.

An average salary of an AI architect is $110,000 per annum.

7. Cloud Architect

Cloud computing is a mainstream technology that organizations and individuals across the world use on a daily basis. This resulted in openings for many new jobs as a cloud architect. The task of a cloud architect is to help an organization to develop cloud architecture, cloud strategy, coordinating its execution and application. To become a cloud architect, one needs to have a deep understanding of cloud application architecture, knowledge of Amazon Web Services (AWS), Microsoft Azure, or Google cloud platform, excellent communication skills.

A cloud architect can earn $107,000 per annum on an average in this field.

8. Full-Stack Developer

The task of a full-stack developer is to control and develop both the front-end and back-end of an organization. A full-stack developer must have knowledge about technologies like MongoDB and Node.js, coding and scripting, basics of database technology, fundamentals of web development and should know how to design and develop an API.

The average income of a full-stack developer is $106,000 per annum.

9. DevOps Engineer

The job of a DevOps engineer is processing tools and methodologies that are required to stabilize the needs through the life cycle of the software development process. A DevOps engineer designs and maintains a deployment structure, applies cloud services to allow mechanization in Python and Ruby. To become a DevOps engineer, a person must know coding and scripting, deployment and network operations, to use tools like Git and Jenkins, Using Linux or Unix system administration.

Their average annual salary ranges from $95,000 to $140,000.

10. Product Manager

A product manager is responsible to help the organization in identifying parameters for a product that is built by the engineering team. A product manager is required to lead the development process for a product from its conception to its launch. Product managers also identify the vision of a product and work thoroughly with other teams like sales, marketing, engineering, and IT. A product manager must have a thorough understanding of the concept of PLM, should have the knowledge to manage product tools PivotalTracker, JIRA, or Asana, must have analytical skills and strong time management skills to meet the deadline.

The post TOP 10 HIGHEST PAYING JOBS IN TECHNOLOGY, 2021 appeared first on Artificial Intelligence.

Artificial intelligence is using Automation of making Several human jobs obsolete.

At present, global AI adoption and investment are soaring. Reportedly, 37 percent of organizations have deployed AI solutions. Analysts have forecasted that global AI spending will more than double over the next three years, topping US$79 billion by 2022.

Almost two-thirds of global reports state that AI technologies are enabling their organizations to move ahead of the competition. Sixty-three percent of the leaders surveyed already view AI as “very” or “critically” important to their business success, and that number is expected to grow to 81 percent within two years.

Nature of Work

However, analysts are somewhat uncertain about how much effect AI would have on human jobs. On one hand, AI-driven automation has made most jobs obsolete and on the other hand, new designations of jobs and new territories are being discovered concerning AI operations. While AI adopters express concern about automation as an ethical risk, they emphatically believe that human workers and AI will augment each other, changing the nature of work for the better. Changing how work gets done within the organization by making operations more efficient, supporting better decision-making, and freeing up workers from repetitive tasks- is the core to what companies want to achieve with AI.

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Managing the Gap of Skills

To meet their AI aspirations, companies will likely need the right mix of talent to translate business needs into solution requirements, build and deploy AI systems. They would require to integrate AI into processes and interpret results. However, most early adopters face an AI skills gap and are looking for expertise to boost their capabilities. Reportedly, 68 percent of executives confess to a moderate-to-extreme skills gap, and more than a quarter rate their skills gap as “major” or “extreme.” The gap is evident across all countries surveyed, ranging from 51 percent reporting moderate-to-extreme gaps in China to 73 percent reporting the same in the United Kingdom. The new designations of this field are AI builders and AI translators. These AI builders refer to researchers to invent new kinds of AI algorithms and systems, software developers to architect and code AI systems, data scientists to analyze and extract meaningful insights from data, and project managers to ensure that AI projects are executed according to plan. AI translators bridge the divide between the business and technical staff—the front and back ends of building AI solutions.

Replacement or Advancement?

The desire to replace workers with new, AI-ready talent is clear, but it is not the end of human jobs at all. Reports reveal a scarcity of AI talent around the world. Canadian firm Element AI recently analysed LinkedIn profiles to gauge the size of the worldwide top-tier AI talent pool and counted 36,524 self-reported PhD-level AI experts (including data scientists and machine learning researchers and engineers). So, it is very clear that when a door is being closed in the job sector, a new, more advanced section of jobs are opening doors on the other side.

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AI jobs are Growing in Demand. Know which one suits you the best-

Artificial intelligence is taking over the tech space. AI-powered systems and applications are dominating every aspect of our lives. Tech leaders are constantly innovating and implementing AI technologies in business operations to drive growth and enhance customer satisfaction. Owing to the rising demand for artificial intelligence technologies, the tech industry is demanding skilled professionals; who can manage the new techs and help the companies process their operations efficiently. AI jobs have taken a turn and, skilled candidates are flocking towards the tech industry.

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Here are the top 7 AI jobs for individuals interested in pursuing AI careers.

1. Intelligence Designer: Intelligence Designers are AI professionals who decide, manage, and estimate the strategic choices of how, when, and where to develop AI technologies based on complex and large IT systems. An intelligence designer needs to see the bigger picture and localize all the intelligence to understand and curate a strategy for the correct procedure to develop AI systems.

2. Data Evangelist: The role of data evangelism will become crucial for the adoption and growth of AI solutions. Companies soon will invest heavily in data evangelist roles to focus specifically on working across the organizations to educate users about the available AI solutions, the importance of data-driven decision-making, and the different ways to smoothly change the traditional business workflows to take advantage of the emerging technologies.

3. Machine Learning Engineer: The role of a machine learning engineer is currently highly sought after because of the rise in demand for machine learning technologies and programs. This role is compatible with candidates who have a degree in data science. The ML engineer will have to be adept in the various programming languages, as well as in AI programming.

4. Research Scientist: In the AI industry, the role of a research scientist is crucial. A research scientist needs to have a deeper understanding of the multiple disciplines of AI, like computational statistics, machine learning, deep learning, applied mathematics, and other related fields. To get hired for this job, one needs to have extensive knowledge about NLP, graphical models, and reinforcement learning.

5. AI Interaction Designer: An AI interaction designer is responsible for making sure that anything that the AI agents say is responsible, sensible, and coherent to the problem at hand. In the IT industry, there will be a growing need for professionals who can make AI systems usable for the mass audience.

6. Data Curator: A data curator uses self-service data platforms to curate data for different analytical tasks, allocates computational resources for accelerating data analysis, adds semantic data to the data catalog to speed up the analysis of high-value datasets, and blend data sets.

7. Business Intelligence Developer: The primary goal of a business intelligence developer is to analyze complex datasets and identify business and market trends to boost business revenues. The BI developer will use cloud-based data platforms to design, model, and maintain complex datasets. The candidate needs to have experience in data mining, data warehouse design, SQL integration services, SQL queries, and other related fields.

The post TOP 7 EMERGING AI JOBS FOR TECH PROFESSIONALS appeared first on Artificial Intelligence.

AI and data science jobs are already seen as a rewarding career path for professionals

Artificial intelligence is a promising technology, that has made significant changes in the 21st century. Starting from self-driving cars and robotic assistants to automated disease diagnosis and drug discovery, the stronghold of artificial intelligence is no joke. Along with artificial intelligence, data science has also shifted the way we live and work. With the demand for data science and artificial intelligence spiralling, the job market is opening its door to AI and data science jobs. The tech sphere has ensured that artificial intelligence jobs and data science jobs provide limitless opportunities for professionals to explore cutting edge solutions. According to a Gartner report, Artificial intelligence jobs rose to over 2.3 million in 2020. While the competition in the industry is heating up, AI and Data science jobs are already seen as the rewarding career path. Analytics Insight has listed top AI and Data science jobs that aspirants should apply for today.

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Data Scientist: Artificial Intelligence at IBM–

Location: Bengaluru, Karnataka, India

About the company: IBM, also known as International Business Machines Corporation is a leading American computer manufacturer. The company has developed a thoughtful, comprehensive approach to corporate citizenship that they believe aligns with IBM’s values and maximized the impact they can make as a global enterprise.

Roles and responsibilities: As a data scientist at IBM, the candidate is expected to develop, maintain, and evaluate AI solutions. He/she will be involved in the design of data solutions using artificial intelligence-based technologies like H2O, Tensorflow. They are responsible for designing algorithms and implementation including loading from disparate datasets, pre-processing using Hive and Pig. The candidate should scope and deliver solutions with the ability to design solutions independently based on high-level architecture. They should also maintain the production systems like Kafta, Hadoop, Cassandra, and Elasticsearch.

Qualifications

• The candidate should have a minimum of 4 years of experience in the IT industry.
• They should be technologically wise in Python programming and have proficient skills in Watson NLP.
• He/she should know to develop and embed AI solutions in Intelligent Workflow.
• The candidate should have working knowledge in one NoSQL database like MongoDB, Cassandra, HBase, or Couchbase.
• They should have hands-on experience in big data architectures.

Senior Analyst- Artificial Intelligence Innovation at Accenture–

Location: Bengaluru, Karnataka, India

About the company: Accenture is a global professional services company that provides a range of services and solutions in strategy, consulting, digital, technology, and operations. Combining deep experience and specialized skills across 40 industries and business functions, Accenture works at the intersection of business and technology to help clients improve performance and create sustainable value for stakeholders.

Roles and responsibilities: As a senior analyst- artificial intelligence innovation, the candidate will be aligned with Accenture’s insights and intelligence vertical and help them generate insights by leveraging the latest artificial intelligence and analytics techniques to deliver value to its clients. Generally, the artificial intelligence innovation team at Accenture is responsible for the creation, deployment, and managing of the operations of projects. In this role, the candidate will need to analyze and solve increasingly complex problems. He/she should frequently interact with their peers at Accenture and clients to manage the development well.

Qualifications

• The candidate is mandated to own a B.E/B.Tech/M.Tech degree.
• He/she should have at least 5-8 years of experience in working with artificial intelligence.

Principal, Artificial Intelligence Engineer at AT&T–

Location: Azcapotzalco, Mexico City, Mexico

About the company: AT&T is a US-based telecom company and the second largest provider of mobile services. AT&T operates as a carrier of both fixed and mobile networks in the US but offers telecoms services elsewhere. The company also provides pay-TV services through DirecTV.

Roles and responsibilities: The artificial intelligence engineer at AT&T is responsible for designing and implementing artificial intelligence and machine learning packages, including data pipelines, to process complex, large-scale datasets used for modelling, data mining, and research purposes. He/she is expected to design, develop, troubleshoot, debug, and modify software for AT&T services or the management and monitoring of these service offerings. They should interact with systems engineers t realize the technical design and requirements of the service, including management, systems, and data aspects.

Qualifications

• The candidate is expected to have a Bachelors degree in Computer Science, or Scientific Computing, Data Analytics, Machine Learning, Business Analyst nanodegree, or any equivalent experience.
• He/she should have experience working with Java, Python, SQL, Azure, etc.

Data Engineer at LinkedIn–

Location: Bengaluru, Karnataka, India

About the company: LinkedIn is a social networking site designed to help people make business connections, share their experience and resumes, and find jobs. LinkedIn is free, but a subscription version called LinkedIn Premium offers additional features like online classes and seminars.

Roles and responsibilities: As a data engineer at LinkedIn, the candidate is expected to work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy. He/she should build data expertise and manage complex data systems for a product or a group of products. They should perform all the necessary data transformation tasks to serve products that empower data-driven decision-making. The candidate should establish efficient design and programming patterns for engineers as well as for non-technical partners.

Qualifications

• The candidate is mandated to have Bachelors in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• He/she should have 3+ years of experience working with a large number of datasets.
• They should have hands-on experience in SQL and relational databases.
• The candidate should have experience with distributed data systems such as Hadoop and related technologies like Spark, Presto, Pig, Hive, etc.

Data Scientist, Engineering at Google–

Location: Bengaluru, Karnataka, India

About the company: Google is an American search engine company founded in 1998. Began as an online search firm, the company now offers more than 50 internet services and products including email, online document creation, software for mobile phones and tablet computers, etc.

Roles and responsibilities: As a data scientist at Google, the candidate will evaluate and improve Google’s products. They will collaborate with a multi-disciplinary team of Engineers and Analysts on a wide range of problems, bringing analytical rigour and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behaviour of end-users, advertisers, and publishers. He/she should work with large, complex data sets and solve difficult, non-routine analysis problems by applying advanced methods. The candidate should conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Qualifications

• The candidate should have a Master’s degree in a quantitative discipline or equivalent practical experience.
• He/she should have at least 2 years of experience in data analysis or a related field.
• They should be well-versed in statistical software.

Data Engineer at Tata Consultancy Services-

Location: Melbourne, Victoria, Australia

About the company: Tata Consultancy Services, also known as TCS, is a global leader in IT services, digital, and business solutions. The company partners with clients to simplify, strengthen, and transform their business.

Roles and responsibilities: As a data engineer, the candidate should design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, or Scala. He/she should design and implement data engineering, ingestion, and curation functions on AWS cloud using AWS native or custom programming.

Qualifications

• The candidate is expected to have 4+ years of experience working with AWS cloud, Big data technologies, AWS Cloud Data Services like RedShift, Lambda, Glue, etc.
• He/she should have the experience to build, design, and operationalize enterprise data solutions and applications using one or more AWS data and analytics services.
• They should have experience in ETL Tools, data modelling, data analysis, Python, Shell scripting, ETL Testing, Splunk tools, etc.

The post GRAB THE OPPORTUNITY: TOP AI AND DATA SCIENCE JOBS TO APPLY TODAY appeared first on Artificial Intelligence.

The jobs related to data science are in high demand worldwide because of their high salary and interesting ground of work. Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They apply industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges. A data scientist’s work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database. The following are the top data scientist jobs, which one can apply for this week.

Data Scientist at Wipro

Location: Chennai, Tamil Nadu

About the company

Wipro India Business, a part of Wipro Limited is a leading global IT transformation, consulting, and business process services provider and a pioneer in the Indian market with decades of experience. They harness the power of application, cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help their clients adapt to the digital world and make them successful.

Roles and Responsibilities

Suitable candidates will be part of Wipro Digital-Intelligent Enterprise practice. The role entails leveraging Data Science and Machine Learning to solve typical problems within the organization and create IP that could be deployed in a productized mode. This will entail significant hands-on work on multiple Big Data Technologies, Data Analysis, identifying data patterns, ML models, and insights generation. The role entails deployment in a customer context and managing customer expectations.

Skills Required:

• Missing Data Imputation, Outlier Treatment
• Scaling, Normalization, Standardization
• Encoding for Categorical Variables
• Oversampling\Undersampling for reducing the class imbalance

Data Analyst at Amazon

Location: Bengaluru, Karnataka

About the company

Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, Cloud,  and Digital products and services like the Kindle family of tablets, e-readers and the store.

Roles and responsibilities

The company is looking for a hands-on, detail-oriented, and highly motivated data analyst to help create data-backed insights that will drive selection improvement. The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new, and challenging situations. The candidate must be comfortable in executing repeatable processes.

Skills Required

• Experience with E-Commerce, Retail, and Business Analytics would be an advantage.
• Understanding of data warehousing, data modeling concepts, and building new DW tables.
• Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms.

Data Analyst at PayPal

Location: Chennai, Tamil Nadu

About the company

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Their open digital payments platform gives PayPal’s 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money and offers choice and flexibility when sending payments, paying, or getting paid. Roles and responsibilities

An ideal candidate for this job will have to be innovative & curious. One should have the desire and ability to connect and empathize with the customers. One should possess an entrepreneurial spirit and get excited about creating new businesses and re-inventing current ones. One should be analytical & action-oriented, data-driven and outcome-focused. One should grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. One should be collaborative & team-oriented, always keeping the people around in the loop and are excited to communicate complex ideas clearly to make sure the co-workers understand the “why” behind their work and their key priorities.

Skills Required:

• Experience with or willingness to learn tools such as SQL, R, Python.

Data Science Intern at Sony Research India

Location: Bengaluru, Karnataka

About the company

Sony Research India Private Limited was established in July 2020 as a research company in India as part of Sony’s global R&D centers. Delivering Excitement, Passion, Joy, and Compassion to the World, all is possible with the diverse research opportunities they offer at Sony Research India. We venture into entertainment, healthcare, music, and gaming. They also devise mobility solutions that help people get around securely and safely and support creators to expand their creativity with innovative AI applications. Sony Research India is a place to apply a wide range of technologies to inspire emotion in new fields.

Roles and responsibilities

Together with the head of data science & team of data scientists, work on the research & development activities daily and contribute to reporting, coding, testing, and implementing relevant models. Also, some other responsibilities, but not limited to, will be scraping data from the public domain and researching the content recommendation for the OTT platforms.

Skills Required:

• Python coding
• Statistics
• Strong SQL theoretical knowledge
• ML basics

Data Scientist at LinkedIn

Location: Bengaluru, Karnataka

About the company

LinkedIn connects the world’s professionals to make them more productive and successful. With more than 756 million members worldwide, including executives from every Fortune 500 company, LinkedIn is the world’s largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions, and Premium Subscription products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.

Roles and responsibilities

• Work with a team of high-performing analytics, data science professionals, and product managers to identify business opportunities and optimize member experiences at LinkedIn.
• Reporting and Monitoring: Design, create and automate reports and dashboards to track key business metrics in security Engineering and security product areas. ETL data, clean and validate data when needed.
• Product Analytics: Design and analyze experiments to test new product/feature ideas and convert the results into actionable business recommendations. Formulate success metrics for initiatives, create and automate dashboards/reports to monitor them and quickly identify the root cause of the anomaly.
• End-to-end Deep Dive Analytics: Deep dive into an area, find insights and understand the root cause of an observed trend, and translate the insights into actionable recommendations. When applicable, implement the solution and monitor the performance. Analyze and mine both structured and unstructured data to drive member-centric insights.

Skills Required:

• Relevant experiences in security analytics, risk analytics, trust & safety analytics from high-tech companies.
• Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, SPSS)
• Advanced degree in quantitative fields – Computer Science, Engineering, Operational Research, Mathematics, Statistics, Economics, etc.
• Strong business mindset and strong problem-solving skills
• Excellent communications skills. The candidate should be able to explain complex problems to a variety of audiences. The candidate should be able to drive meetings and lead discussions

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