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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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

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