Ford Motor
Qualifications
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.
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.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp‑up programs, subsidized back‑up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time
For a detailed look at our benefits, click here: Benefit Summary
This role is on‑site in Dearborn, MI, you will be required to be in office 4x week.
*Visa Sponsorship is NOT provided for this specific role
*
*Relocation assistance IS provided for this specific role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
Responsibilities
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.
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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.
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.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp‑up programs, subsidized back‑up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time
For a detailed look at our benefits, click here: Benefit Summary
This role is on‑site in Dearborn, MI, you will be required to be in office 4x week.
*Visa Sponsorship is NOT provided for this specific role
*
*Relocation assistance IS provided for this specific role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
Responsibilities
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.
#J-18808-Ljbffr