Artificial intelligence (AI) has been a buzzword in the IT industry for some time now, but a global pandemic prompting a massive shift in favor of working from home and demand simplifying complicated IT environments has a way of accelerating emerging trends into the mainstream.

Changing business needs due in part to COVID-19 is driving adoption of AI and advancements in the technology are making it increasingly accessible to more businesses. In fact, by 2025, a whopping 50 percent of enterprises will have devised AI orchestration platforms to operationalize AI, up from fewer than 10 percent in 2020, according to the Global AI Adoption Index 2021, a report conducted by Morning Consult on behalf of IBM. And it’s hard to find an IT vendor that isn’t using AI in some way to make its technology smarter.

For AI Week 2021, CRN will examine how the emerging AI market can create new opportunities for solution providers. We’ll look at how the major AI vendors stack up against each other, why AI is a double-edged sword when it comes to cybersecurity and more.

The 10 Hottest AI Security Companies You Need To Know
From identifying traits that numerous threats share to taking on well-camouflaged malware to telling organizations how to allocate security resources, here’s a look at what 10 hot AI security companies are doing.

AI Face-Off: Cisco Vs. Juniper Networks And Aruba Networks
Solution providers, decide: Here’s how Aruba Networks, Cisco Systems, and Juniper Networks stack up in the AI department.

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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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New trends and Free Courses – Here are the Important Data Science News’

Data science professionals and students, make note of this.

Behind every successful company, data science is a silent hero. In this digital world, we are producing several TBs of data that consists of valuable information for organizations. Data science is a disruptive technology that extracts gold out of the flood of information. This makes data science critical for businesses around the world. Data professionals carefully observe the industry and look for trends and innovations that will affect their work, whereas young individuals who aspire to make a mark in the tech industry choose data science as a profession and look for the right opportunities to strike.

So, What Latest in the Data Science World? Here’s a list of the Top News Stories.

1. SoftBank is Ready to train Miami Residents for Data ScienceJjobs

SoftBank Group International, a Miami-based office of the global venture giant, announced that they are sponsoring about a thousand Miami-Dade residents in a data science training course. Along with Miami-Dade County, the Miami-Dade Beacon Council economic development organization, the city of Miami, and other partners, SoftBank aims to develop the necessary skills and advance the careers of young adults from Black, Latino, female, and LGBTQ+ communities. It’s a 13-week Data Science for All online program that will upskill the lives of underrepresented backgrounds.

2. Experts Reveal Three New Data Science Trends

Synechron, a leading digital transformation consulting firm launched an annual report, Top Strategic Technology Trends. The report noted data science as one of its eight major trends for 2021, and the company’s experts put our three critical trends. The first trend talks about the business applications of self-supervised models, where AI teaches itself to solve problems without human classification of data. The second trend refers to the increased adoption of the Natural Language Generation that uses AI to create several hand-produced documents that are needed every day. The third and final trend is concerned with technologies like ML, Optical Character Recognition, and NLP that will increase efficiency, reduce costs, and detect financial crimes during KYC.

3. Indian EdTech AlmaBetter has Announced a Training Session for Data Science Aspirants

AlmaBetter, which focuses on community and cohort-based data science learning has set aside a budget of INR 2 crore to train 25,000 data scientists by March 2022. Some percentage of the funds will also provide scholarships based on merit, financial aid, and necessary devices like laptops and internet connection to these students. Through this thoughtful initiative, AlmaBetter aims to close the skill gap in the data science industry.

4. Rasgo Intelligence Raises Funds to be the GitHub of Data Science

Rasgo Intelligence helps data scientists to easily use raw data and build models on its platform. To eliminate the factor of excessive time consumption while processing data, the company uses a community-based, repository approach like GitHub. Developers can explore, clean, and transform data using a pre-set blocks and functions library. To leverage this, Rasgo Intelligence raised a total of US$25 million, after generating global enterprise customers across 5 industries and 70,000 open-source downloads.

5. Another Indian EdTech, SkillEnable, is Gearing up to Help Aspiring Data Scientists

A lot of organizations and startups have realized the skill gap in the data science industry, and SkillEnable has decided to aid the situation. This employability-based edtech company is using a unique fee payment structure to ensure students pursue this field without worrying about the financial burden. SkillEnable is using an Income Sharing Agreement to provide a solution for huge upfront fee concerns. After the online course is completed, the fee is charged as a percentage of the salary, once the student gets placed and starts to earn income.

6. Analytics Insight has made a List of the Best Free Online Data Science Courses

Offered by reputed universities like Harvard, UC San Diego, MIT, and Georgia Tech, these online data science courses are for professionals and students who have finished beginner-level courses. They’re free of cost and cover critical topics like big data analytics using Spark, statistical modeling and computation in applications, and machine learning with Python, to name a few. Read the full list here.

7. The Top IITs are Offering Data Science Degrees

India’s eminent tech institutions, IITs, are now offering several PG and UG courses in data science. To help budding data scientists get recruited by top companies around the world with lucrative salary packages, IITs are offering courses that range from B.Sc degree in programming and data science, M.Tech in data science, M.Tech in AI, and data science, and BS-MS in data science, amongst many others. Read the full article here to know the details.

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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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