HP

Senior Data Scientist, E Commerce

HP

full-time

Posted on:

Location Type: Office

Location: Bengaluru • India

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Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Translate large, complex datasets into actionable business insights using analytics, data visualization and statistical modelling.
  • Apply descriptive, diagnostic, and predictive analytics, including regression and other statistical models, to explain business performance and forecast outcomes.
  • Design, analyze, and interpret A/B tests and experiments, ensuring statistical rigor and business relevance.
  • Identify and analyse e-commerce trends related to category and supply chain.
  • Partner with category teams, data engineering, data science teams, and external developers to deliver scalable analytical solutions.
  • Act as a trusted analytics advisor to business stakeholders, influencing strategy through data.
  • Develop repeatable, automated, and scalable frameworks for ongoing analysis and reporting.
  • Ensure data quality, consistency, and governance across pricing data, dashboards, and reports.
  • Present insights, recommendations, and trade-offs to senior leadership with clear storytelling and visualizations.
  • Scope and structure new analytical initiatives that drive incremental business value.

Requirements

  • 5+ years of experience in data analysis, business analytics, or data science roles, preferably in B2C e-commerce or retail.
  • Strong business, finance, and economics foundation with the ability to connect data to commercial outcomes.
  • Proven experience with statistical analysis, regression models, and predictive modeling.
  • Hands-on experience designing and analyzing A/B tests or experiments.
  • Advanced proficiency in SQL and Excel.
  • Experience with BI and visualization tools (e.g., Power BI, Tableau).
  • Working knowledge of Python and/or R for data analysis and modeling.
  • Excellent communication and storytelling skills, including executive-level presentations.
  • Strong project ownership and prioritization skills in fast-paced environments.
  • Master’s degree or higher in a quantitative field (preferred).
Benefits
  • A high-impact role in a global, data-driven organization.
  • Collaboration with diverse, international teams.
  • Continuous learning opportunities.
  • Competitive compensation and benefits.
  • Access to inclusive employee networks (Women, Pride, Young Employees, Disability).
  • Time and support for corporate volunteering and community impact.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisbusiness analyticsdata sciencestatistical analysisregression modelspredictive modelingA/B testingSQLExcelPython
Soft Skills
communicationstorytellingproject ownershipprioritizationinfluencing strategyanalytical thinkingcollaborationpresentation skillsdata-driven decision makingproblem solving
Certifications
Master’s degree in quantitative field