9 дней назад
Senior Data Scientist (Yield Management)
68 300 - 192 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Yield Management) (Python/statistical modeling/optimization): Developing and maintaining predictive models, optimization frameworks, and analytical applications that support vehicle pricing, incentive strategy, and portfolio risk management with an accent on quantitative modeling, production deployment, and business-focused analytics. Focus on optimizing nameplate profitability, assessing incentive impacts, supporting repricing and model-year launches, and exploring agentic AI and LLM-based workflows.
Location: Dearborn, Michigan; hybrid schedule with a requirement to be onsite four or more days per week
Salary: $68,300–$192,900 annually, salary grade 5–8
Company
develops vehicles and mobility services while using data-driven marketing, sales, and service solutions to improve customer experience and loyalty.
What you will do
- Own the lifecycle of predictive models and optimization frameworks supporting vehicle pricing, incentive strategy, and portfolio risk management.
- Enhance, maintain, and productionize analytical products with automated deployment, stable operations, clean code, and documentation.
- Develop solutions as web applications, ad-hoc analyses, and dashboards using formats suited to business needs.
- Assess portfolio risk, incentive impacts, nameplate profitability, market demand, and operational constraints.
- Support new model-year launches, mid-year repricing, and short-term variable marketing adjustments.
- Partner with business stakeholders, data engineering, AI/ML engineering, and analytics product teams to translate business problems into quantitative solutions.
Requirements
- Master’s degree in data science, statistics, economics/econometrics, mathematics, operations research, artificial intelligence, machine learning, or a related quantitative field.
- At least 3 years of experience in data analytics, AI/ML modeling, or related quantitative analysis.
- Programming proficiency in one or more of Python, R, MATLAB, C, C++, C#, or SAS.
- Familiarity with machine learning/deep learning libraries and SQL.
- Candidates must be legally authorized to work in the United States.
- Visa sponsorship is not available for this position.
Nice to have
- Ph.D. in a related quantitative field.
- Experience applying econometrics, statistics, machine learning, or deep learning to large structured and unstructured datasets.
- Experience with Dash, Flask, Streamlit, Git, Azure, or GCP.
- Interest or experience in agentic AI and LLM-based tools.
Culture & Benefits
- Medical, dental, vision, and prescription drug coverage.
- Paid parental leave, family care days, childcare support, and family-building benefits.
- Vehicle discount programs, tuition assistance, paid time off, and paid holidays.
- Employee resource groups and paid time for individual and team community service.
- Option to purchase additional vacation time.
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