HP
E-commerce
SeniorE-CommerceDataScientist/DataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior E-Commerce Data Scientist / Data Analyst at HP. Skills: Data Science, Data Analysis, E-commerce, Statistical Modeling. Translate datasets into insights. Apply descriptive analytics”
What You'll Achieve.
solve high-impact business problems; shape HP’s global e-commerce strategy; deliver scalable analytical solutions; drive incremental business value
Industry & Context.
simplify complex problems; build efficient solutions; build scalable solutions; solution-oriented
What They're Looking For.
Must Have
5+ years of experience in data analysis, business analytics, or data science roles, business, finance, and economics foundation, Proven experience with statistical analysis, regression models, and predictive modeling, Hands-on experience designing and analyzing A tests or experiments, Advanced proficiency in SQL, Advanced proficiency in Excel, Experience with BI and visualization tools, Working knowledge of Python, Working knowledge of R, Excellent communication and storytelling skills, executive-level presentations, project ownership and prioritization skills
Nice to Have
Databricks experience, modern data platforms experience, Git familiarity, collaborative analytics workflows familiarity, advanced statistical techniques exposure, machine-learning techniques exposure, retail analytics experience, e-commerce analytics experience, manufacturing analytics experience, Project management experience, Project management certifications, Master’s degree or higher in a quantitative field
What You'll Do.
Translate datasets into insights
Apply descriptive analytics
Apply diagnostic analytics
Apply predictive analytics
Explain business performance
Identify e-commerce trends
Analyze e-commerce trends
Develop analytical frameworks
Ensure data consistency
Ensure data governance
Present recommendations
Scope analytical initiatives
Structure analytical initiatives
How You'll Work.
Team & Collaboration
Partner with category teams; Partner with data engineering; Partner with data science teams; Partner with external developers; Act as analytics advisor; Influence strategy through data; Collaborate with diverse teams; Collaborate with international teams
Communication Scope
storytelling; executive-level presentations
Process & Methodology
project ownership, prioritization skills, Project management experience, Project management certifications
Full Job Description
Senior E-Commerce Data Scientist / Data Analyst **Description -** As a Senior E-Commerce Data Scientist / Senior Data Analyst 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
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