Data Scientist, Sales Planning and Forecasting
- Develop, enhance, and maintain advanced statistical and machine-learning models for short- and long-term automotive industry sales forecasts
- Develop and maintain automated dashboards tracking macroeconomic indicators used for short- and long-term industry and Lucid volume forecasts
- Support scenario planning and “what-if” simulations for volume planning, new model introductions, and pricing strategies
- Define and support buildout of scalable data pipelines to automate reporting using Python, SQL, and cloud-based analytics tools
- Ensure high data quality, governance, and alignment across Sales, Supply Chain, Finance, and Marketing data sources
- Conduct exploratory analysis to uncover trends, risks, and opportunities within the automotive market
- Communicate model insights and complex technical concepts in a way that business partners can easily understand and act upon
- Provide analytical support during key planning cycles (e.g., monthly S&OP, annual LRP)
- Provide ad-hoc analysis and reporting on sales planning, forecasting and data insights’ related request
- Master’s degree in Data Science, Statistics, Economics, Computer Science, Engineering, or related field
- 8+ years of proven experience in forecasting, demand planning, econometric modelling, or applied analytics (automotive experience strongly preferred)
- Proficiency in Python/R, SQL, Airflow, Github and modern ML frameworks
- Familiarity with cloud platforms (AWS, Azure)
- Strong analytical and quantitative skills with the ability to analyze complex data sets and generate actionable insights
- Strong proficiency in Salesforce and Tableau is highly preferred
- Proficiency in Microsoft Office Suite
- Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and present new solutions and analysis results to stakeholders
- Ability to work under pressure, meet tight deadlines, and adapt to a fast-paced, dynamic work environment
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