[Weekly Jobs Roundup] 10 Latest Data Science Job Openings At Tech MNCs

Below, we have a list of ten latest jobs for Data Scientists posted by tech giants last week.

Extra:

Process Manager - Digital Analytics - Implementation - Business Operations Services (3-6 yrs)

Location: Mumbai

Responsibilities:

•  Identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology.
• Create Test Cases for tagging Implementation and performing tests/tag audit in UAT/PROD
• Providing Post Implementation support to business users, among others.

Apple here.

1| Data & Applied Scientist 2 at Microsoft

Location: Bangalore

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, continuous-release and service operation.
• Working in a collaborative multiple project team environment

Apply here.

2| Data Scientist Associate at JPMorgan Chase & Co.

Location: Mumbai 

Responsibilities:

• Execute big data analytics projects related to product innovations for Merchant Services.
• Synthesise data sets to craft actionable consumer insights that support merchant growth
• Develop data, queries, tables and visualisations to gain insights

Apply here.

3| Data Scientist at Ericsson

Location: Chennai

Responsibilities: 

• Conduct functional as well as technical analysis within the organisation and strategic customers to understand the machine learning-driven business needs and opportunities.
• Engage with the external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs.
• Help develop new as well as existing methodologies for multi-functional initiatives.

Apply here.

4| Data Scientist at Walmart

Location: Bangalore

Responsibilities:

• Manage as well as integrate complex and large datasets from multiple, disparate data sources.
• Mentor the junior members in the team and help them in modelling choice and scalability considerations, etc.

Apply here.

5| Data Scientist at IBM

Location: Bangalore

Responsibilities:

• Involve in the deployment as well as operations of the technologies.
• Develop and deploy ML techniques for practical applications, data centre infrastructure operations, cloud-native applications/services development, etc.

Apply here.

6| Data Scientist at Honeywell

Location: Bangalore

Responsibilities: 

• Work with the application architects to integrate results into operational platforms, including the distributed compute and storage architectures.
• Identify the opportunities for new growth and efficiencies based on the analysis of data both in adjacencies based on previous engagements, as well as larger industry developments.

Apply here.

7| Associate Data Scientist - Space Planner

Location: Bangalore

Responsibilities:

• Working closely with Shop Format managers to create and maintain shop plans and linking the relevant planograms.
• Analysing performance to optimise the range across the various sizes of Planogram and Shop Formats, etc.

Apply here.

8| Data Scientist-1 at PayPal

Location: Chennai

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

Apply here.

9| Data Scientist at Airbnb

Location: Bangalore

Responsibilities:

• Define and evaluate key metrics. Build a data foundation in partnership with the data engineering team.
• Design experiments to measure the impact of new payments features
• Empower the product and engineering teams to make data-driven decisions

Apply here.

10| Data Scientist - 1 at Novartis

Location: Hyderabad

Responsibilities:

• Design, develop and deliver various NLP based insights, outcomes and innovation
• Own adoption, execution and integration of data science based solutions end to end

Apply here.