Job Description
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where
Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
This job is a U.S. based HYBRID postion and requires a minimum of 4 days onsite at the Dearborn MI office.
The Strategy & Enterprise Analytics team, part of the
Global Data Insight & Analytics (GDI&A) organization, is seeking an experienced Data Scientist with a strong background in AI/ML to develop and deliver innovative data analytics models, tools, and services. As a key member of our team, you will collaborate with business partners in the sustainability and regulatory compliance areas to identify new data sources and explore their potential use in driving business results.
About Us:
In Global Data Insight & Analytics (GDI&A), we harness the power of data and artificial intelligence to navigate Ford Motor Company through the disruptiveness of the information age. We're a team of innovators who strive to realize the enterprise's goals, reveal hidden opportunities, and achieve data superiority.
About You:
We're looking for a seasoned Data Scientist with 3+ years of experience in AI/ML, preferably with some experience in Generative AI. You're a humble and collaborative individual who thrives in a fast-paced environment. You're passionate about developing and delivering data analytics and machine learning models that drive business impact.
Responsibilities
Responsibilities:
- Acquire a deep understanding of business problems and translate them into appropriate technical solutions.
- Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more.
- Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
- Utilize SQL extensively for data extraction, transformation, and loading (ETL) from various relational databases.
- Collaborate internally and with data engineers to identify new and novel data sources, ensure robust data infrastructure, and explore their potential use in developing actionable business results.
- Monitor and maintain deployed AI/ML models, ensuring their ongoing performance, accuracy, and reliability.
- Analyze and interpret complex datasets to identify trends, patterns, and insights that inform model development and business decisions.
- Communicate technical concepts and analytical results effectively to both technical and non-technical stakeholders.
- Work independently with minimal guidance, taking ownership of projects and delivering results.
- Foster a collaborative team environment, showing the highest respect for team members and their contributions.
- Stay updated with the latest advancements in AI, machine learning, and data science technologies.
Qualifications
Minimum Qualifications:
- Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
- Strong proficiency in Python for data science and machine learning.
- Expertise in SQL for data querying, manipulation, and database interaction.
- Strong skills in data acquisition, algorithm design, and model development and refinement.
- Experience with big data technologies, cloud-based data platforms (e.g., GCP, AWS), and business intelligence tools (e.g., Power BI, Streamlit, Plotly Dash).
- Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Excellent oral, written, and interpersonal communication skills.
Preferred Qualifications:
- Ph.D. in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of experience in data science and analysis, including leadership or mentoring roles.
- Significant experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation.
- Experience in specialized areas such as Natural Language Processing (NLP), deep learning (e.g., TensorFlow, PyTorch), or recommendation systems.
- Experience with building and managing data pipelines, including familiarity with orchestration tools (e.g., Apache Airflow, Kubeflow) or DBT.
- Experience in sustainability and regulatory compliance domain is a plus.
- Certifications in Google Cloud Platform (GCP) or other cloud platforms.
- Experience with agile development methodologies and version control systems (e.g., Git).
- A record of publications or presentations in recognized journals or conferences.
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, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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 more information on salary and benefits, click here: https://fordcareers.co/GSRSP2
This job is a U.S. based HYBRID postion and requires a minimum of 4 days onsite at the Dearborn MI office.
This position is a range of salary grades 7-8 .
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. 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.
Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
