Sr. Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Sr. Data Scientist Vadodara, GJ, India Company Description: Job Description: E-Commerce Product Development Specialist- Data Scientist About the job You will work with a global team dedicated to the development of E-Commerce products and new methodologies to measure how people shop online. We are looking for someone to support our E-Commerce offerings in the South-East Asia markets. Ideally, you should have familiarity with e-commerce data, retailer data and panel data, and exposure to business intelligence or market research. Additionally, you should have experience with modelling/statistical techniques and data quality analysis and improvement. You should have a passion for challenging data opportunities! Responsibilities Evaluate current E-Commerce Product methodologies to identify opportunities for enhancement Research new methodologies and quantify their improvement Deliver on methodology enhancements to E-Commerce products, improving overall quality from client perspective Deliver codebase and documentation to local Data Science, Technology and Operations teams Prototype as well as support pilot programs to drive innovation. Qualifications Bachelor's / Master's / Doctorate Degree in Data Science, Mathematics, Statistics or related fields involving statistical analysis of large data sets At least 3 years' experience E-Commerce and Consumer-related knowledge Strong attitude for data analysis and problem-solving skills Drive to continuously learn and adopt new technologies and tools Experience in high-level programming languages (Python preferred) Knowledge in SQL, working with queries and large-scale databases Excellent statistical and logic skills. Experience in trend analysis, sampling, bias reduction, data aggregation and model validation techniques Strong communication, presentation and collaboration skills Ability to effectively convey complex concepts to

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