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Top 10 Data Science Jobs in MNCs in India to Apply Today

Data science is one of the top emerging technologies in the world. Today, recruiters are looking to hire individuals with data science skills and knowledge. Entering data science can prove to be highly rewarding and will help you build a career. Demand for data-related professionals like data scientists and analysts has currently outweighed the supply, meaning that companies are willing to pay a premium to fill their open job positions. Analytics Insight has listed the top 10 data science jobs available in Indian MNCs you can apply to right now.

 

Data Scientist, Microsoft

Location: Noida, Uttar Pradesh

Responsibilities:

Working with big data by training and extending the capability of deep learning models to provide compelling experiences across our products. Working in a significant technical problem domain in terms of plan, design, execution, and continuous-release and service operation. Working in a collaborative multiple project team environment.

 

Data Scientist – IN3, Walmart Global Tech India

Location: Bengaluru, Karnataka

Responsibilities:

Develop the algorithms to generate better demand forecast and production level code for implementation of algorithms. Use predictive modeling methods for demand forecasting and research on newer technologies and algorithms to improve forecast accuracy. Design the Data Science experiments, execute them and record the results.

 

Data Science, IBM

Location: Gurugram, Haryana

Responsibilities:

Drive overall solution design and determining the architecture necessary for the BI team to develop and implement large complex projects. Work with business partners, development teams, and senior designers to capture requirements, determine a solution that will integrate with existing/new BI assets, review prototypes, and develop iterative revisions.

 

Sr. Data Analyst, Honeywell

Location: Bengaluru, Karnataka

Responsibilities:

Lead a team of MDM and ETL developers. Strong understanding of Informatics MDM Knowing IDQ and Power center is an advantage. Be responsible for troubleshooting data issues and conducting root cause analysis when MDM data is in question maintain an in-depth understanding of the functionality of all MDM system hardware and software work closely with the team and any services/system integration vendors on successful release management.

 

 

 

Analyst, Data Engineering at Dell Technologies

Location: New Delhi

Responsibilities:

As a data engineering analyst, you will be responsible for the creation, structure, and enablement of Services data. Follow standard data engineering practices under the direction of peers and management. Use tools appropriately with technical guidance in consolidating and analyzing structured and unstructured data sources to generate insights and solutions. Provide basic analytics support for data quality management while meeting data engineering project deliverables and timeline commitments.

 

Data Scientist, Sony India Software Centre Pvt. Ltd.

Location: Bengaluru, Karnataka

Responsibilities:

Work closely with a team of frontend and backend engineers, product managers, and ML engineers. Design and develop data integrations and data quality framework. Realizes data assets (data models), creates and maintains a state-of-the-art big data pipeline to populate data models. Evaluates and adopt open source and vendor tools for data lineage. Identify valuable data sources and automate collection processes, Undertake to preprocess of structured and unstructured data, and prepare them for ML/AI learning systems.

 

Senior Data Scientist, Visa

Location: Bengaluru, Karnataka

Responsibilities:

Building and helping partners to build data science capabilities and analytical solutions to solve their business problems. Working knowledge in retail banking & credit card domain to guide the teams on the solution architecture. Drive innovation through using data science techniques. Act as data science advocate within partners, advising and coaching analytical teams and sharing best practices and case studies.

 

Data Analyst I, Tech, Uber

Location: Hyderabad, Telangana

Responsibilities:

Embed on a team within the GSS bugs management group and develop expertise around all aspects of their data. Deep dive into historical bugs data to understand their sources, feature sets, identify patterns. Write queries, perform ad hoc analysis and create reports to ensure the team is moving towards smarter decisions.

 

Data Scientist, PayPal

Location: Faridabad, Haryana

Responsibilities:

Build customer valuation models to enable a multi-product risk management strategy. This includes but is not limited to: cross-sell strategies, targeting strategies, an alternative to decline options, etc. Use customer-level analytical insights to support strategic decisions. Develop new and existing reports to identify opportunities. Test and learn customer-level risk strategies.

 

Data Science Analyst 2, Epsilon

Location: Bengaluru, Karnataka

Responsibilities:

Contribute and build an internal product library focused on solving business problems related to prediction and recommendation. Research unfamiliar methodologies, techniques to fine-tune existing models in the product suite and recommend better solutions and/or technologies.

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