Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Senior Data Scientist for Chowdeck, designing and deploying machine learning models to optimize delivery operations and enhance customer experience.
Responsibilities
- Lead the design, development, and deployment of advanced machine learning models across forecasting, optimization, personalization, and risk detection.
- Identify and frame high-impact opportunities where data science can transform customer experience and operational efficiency.
- Conduct competitive intelligence analysis to drive actionable business insights.
- Develop data-driven approaches to pricing, incentives, and promotion algorithms that balance growth with profitability.
- Partner with stakeholders across Product, Operations, and Engineering to translate business challenges into analytical solutions.
- Design and manage experimentation frameworks (A/B testing, causal inference) to validate strategic initiatives.
- Build robust data pipelines and collaborate with engineering teams to ensure scalable, reliable model deployment.
- Create and maintain frameworks to track and improve key business metrics.
- Maintain high data quality standards and ensure integrity across all analyses and systems.
- Mentor and coach junior data scientists, fostering a culture of excellence and continuous learning.
- Communicate complex insights clearly to non-technical stakeholders, driving alignment and action across teams.
Requirements
- Have 5+ years of experience as a Data Scientist or in a similar role, with proven expertise in applied machine learning.
- Are highly skilled in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
- Are proficient in SQL, spreadsheets, and big data tools.
- Have hands-on experience with experimentation, causal inference, and statistical modeling.
- Hold a strong foundation in statistics, mathematics, or a related quantitative field.
- Have a proven track record of building and deploying ML models in production environments.
- Communicate complex ideas clearly and can influence both technical and non-technical stakeholders.
- Enjoy solving ambiguous, complex problems.
- Bring experience or deep curiosity about logistics, e-commerce, marketplaces, or food delivery.
Benefits
- Full medical coverage
- MacBook Pro for your work
- Smart, kind colleagues invested in your growth
- Housing assistance
- Lunch allowance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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