Senior Data Scientist ( E Commerce )

HP; Tlaquepaque; Presencial; MXN 700,000 - 1,000,000; Jornada completa

Descripción de la vacante

A global technology company in Tlaquepaque is seeking a Senior Data Scientist to drive its e-commerce strategy. This role involves translating complex data into business insights, applying advanced analytics, and collaborating with cross-functional teams. Ideal candidates will have 5+ years of experience in data science, a strong foundation in business analytics, and skills in SQL and statistical modeling. Join a diverse, inclusive team with ample opportunities for growth and competitive benefits.

Servicios

Competitive compensation and benefits

Continuous learning opportunities

Access to inclusive employee networks

Formación

• 5+ years of experience in data analysis, business analytics, or data science roles.
• Strong foundation in business, finance, and economics.
• Hands-on experience designing and analyzing A/B tests.

Responsabilidades

• Translate large, complex datasets into actionable business insights.
• Present insights and recommendations to senior leadership.
• Develop automated frameworks for ongoing analysis.

Conocimientos

Data analysis

Statistical modeling

Business acumen

SQL proficiency

Communication skills

Project ownership

Educación

Master's degree or higher in a quantitative field

Herramientas

Power BI

Tableau

Python

R

Descripción del empleo

Overview

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 HP’s 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 You’ll 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.
• Master’s 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 HP’s EEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal