Data Scientist, Marketing
Ford Motor Company.com
Office
Dearborn, MI, United States
Full Time
We are seeking a highly skilled and experienced Senior Data Scientist specializing in Marketing Analytics to join our dynamic team. In this role, you will be instrumental in leveraging data-driven insights to optimize marketing strategies, drive customer engagement, and directly contribute to the growth and success of the Ford Pro brand.
At Ford Pro, you'll be part of a team that is transforming the commercial vehicle industry by delivering innovative and connected solutions. You will have the opportunity to make a significant impact by applying cutting-edge data science to real-world marketing challenges, influencing strategic decisions, and contributing to a business that is crucial to the success of commercial enterprises worldwide. Join us in driving human progress through freedom of movement and shaping the future of work.
- Drive Impactful Solutions: Lead end-to-end data science initiatives, from problem definition to deployment and monitoring, to drive key business outcomes in marketing analytics for Ford Pro. This includes designing and delivering production-grade data science solutions for complex marketing problems, even when standard methods fall short.
- Apply Expertise: Leverage expert knowledge in at least one data science domain (e.g., forecasting, prediction, causal inference, experimentation) to solve intricate marketing challenges.
- Strategic Partnership: Collaborate closely with marketing stakeholders to define data-driven strategies, align on roadmaps, and translate complex business requirements into actionable technical tasks.
- Build Robust Pipelines: Develop and maintain robust, scalable data science pipelines, ensuring high quality, reproducibility, and continuous monitoring of model performance, including detection of feature drift and prediction distributions.
- Influence & Innovate: Influence team data science strategy, standards, and best practices. Champion knowledge sharing, reusable data science assets, and evaluate emerging technologies and research for potential business applications within the marketing domain.
- Communicate Insights: Translate complex data insights into strategic implications, fostering data-driven decision-making at higher levels across multiple teams and product areas within Ford Pro.
- Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Experience: 5+ years of progressive experience in Data Science, with a significant focus on marketing analytics or related business domains.
- Technical Proficiency:
- 3+ years expert proficiency in programming languages such as Python or R, and strong SQL skills.
- Extensive experience with relevant data science libraries and frameworks (e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch, Pandas).
- Strong understanding and practical experience with advanced statistical modeling, machine learning techniques (e.g., regression, classification, forecasting, causal inference).
- Demonstrated experience with cloud platforms (e.g., Google Cloud Platform, AWS, Azure), including building data processing pipelines (e.g., Spark, Dataflow) and utilizing managed machine learning services.
- Problem-Solving: Proven ability to independently translate ambiguous business problems into solvable data science problems and deliver impactful, production-ready solutions.
- Communication: Excellent communication and data storytelling skills, with the ability to articulate complex analytical results and their business implications clearly to both technical and non-technical audiences.
- Collaboration: Demonstrated experience collaborating effectively with cross-functional teams, managing stakeholder expectations, and contributing to a highly collaborative environment.
- 3+ years expert proficiency in programming languages such as Python or R, and strong SQL skills.
- Extensive experience with relevant data science libraries and frameworks (e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch, Pandas).
- Strong understanding and practical experience with advanced statistical modeling, machine learning techniques (e.g., regression, classification, forecasting, causal inference).
- Demonstrated experience with cloud platforms (e.g., Google Cloud Platform, AWS, Azure), including building data processing pipelines (e.g., Spark, Dataflow) and utilizing managed machine learning services.
Even Better If You Have
- An advanced degree (Master's or Ph.D.) in a quantitative field.
- Direct experience with A/B testing design, implementation, and analysis, as well as other experimental design methodologies.
- Expertise in specific marketing analytics areas such as customer segmentation, lifetime value (LTV) modeling, campaign optimization, media mix modeling, or attribution modeling.
- Hands-on experience with MLOps practices, including model deployment, versioning, and automated monitoring in production environments.
- Contributions to open-source projects, academic publications, or industry conferences in relevant data science or marketing analytics fields.
Data Scientist, Marketing
Office
Dearborn, MI, United States
Full Time
October 4, 2025