Senior Data Scientist ( E Commerce )

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Data Scientist ( E Commerce )

Description -

As a Senior E-Commerce Data Scientist within the E-commerce Category & 4P Analytics Team you will solve high-impact business problems that shape HPs global e-commerce strategy. You will work at the intersection of data science business analytics and stakeholder leadership translating complex data into clear insights and measurable business actions.

This role is ideal for a data professional who combines strong analytical rigor business acumen and the ability to own projects end-to-end from problem framing to executive communication.

What Youll Do

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.

About You

You are deeply data-driven and motivated by turning insights into business impact.
You enjoy simplifying complex problems and building efficient scalable solutions.
You are proactive and solution-oriented comfortable operating with ambiguity.
You continuously seek to learn improve and challenge assumptions.

Required Qualifications

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.
Masters degree or higher in a quantitative field (preferred).

Nice to Have

Experience with Databricks or modern data platforms.
Familiarity with Git and collaborative analytics workflows.
Exposure to advanced statistical or machine-learning techniques.
Experience in retail e-commerce or manufacturing analytics.
Project management experience or certifications (Agile PMI).

What We Offer

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.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal

Required Experience:

Senior IC

Senior Data Scientist ( E Commerce )Description -As a Senior E-Commerce Data Scientist within the E-commerce Category & 4P Analytics Team you will solve high-impact business problems that shape HPs global e-commerce strategy. You will work at the intersection of data science business analytics and s...

Senior Data Scientist ( E Commerce )

Description -

This role is ideal for a data professional who combines strong analytical rigor business acumen and the ability to own projects end-to-end from problem framing to executive communication.

What Youll Do

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.

About You

You are deeply data-driven and motivated by turning insights into business impact.
You enjoy simplifying complex problems and building efficient scalable solutions.
You are proactive and solution-oriented comfortable operating with ambiguity.
You continuously seek to learn improve and challenge assumptions.

Required Qualifications

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.
Masters degree or higher in a quantitative field (preferred).

Nice to Have