Leveraging data-driven insights to optimize marketing strategies, drive customer engagement, and directly contribute to the growth and success of the Ford Pro brand.
Requirements
- 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.
- 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.
Responsibilities
- 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.
- Designing and delivering production-grade data science solutions for complex marketing problems, even when standard methods fall short.
- Leverage expert knowledge in at least one data science domain (e.g., forecasting, prediction, causal inference, experimentation) to solve intricate marketing challenges.
- 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 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.
- Translate complex data insights into strategic implications, fostering data-driven decision-making at higher levels across multiple teams and product areas within Ford Pro.
Other
- 5+ years of progressive experience in Data Science, with a significant focus on marketing analytics or related business domains.
- Proven ability to independently translate ambiguous business problems into solvable data science problems and deliver impactful, production-ready solutions.
- 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.
- Demonstrated experience collaborating effectively with cross-functional teams, managing stakeholder expectations, and contributing to a highly collaborative environment.
- This role is on-site in Dearborn, MI, you will be required to be in office 4x week.
