Studium Data Science und Künstliche Intelligenz mit Praxisphasen an der DHBW Lörrach. Ausbildung in Massendatenverarbeitung, Big Data und Visualisierung mit Unterstützung und Weiterbildungsmöglichkeiten.
About the role
- Senior Data Scientist tackling high-impact business challenges within HP's e-commerce strategy. Utilizing data science and analytics to drive insights and business actions.
Responsibilities
- 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.
Job title
Job type
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Not specified
Degree requirement
No Education Requirement
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