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We are seeking a talented and driven Data Scientist to join our team. In this role, you will be instrumental in

transforming real-world data into actionable insights and innovative solutions. You will work across the entire data

science lifecycle, from understanding complex business challenges to deploying robust models that drive impact.

What You'll Do:

+ Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling.

+ Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses.

+ Translate complex business questions and challenges into well-defined data science problems and analytical tasks.

+ Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting).

+ Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.

+ Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.

+ Iterate on models and approaches based on performance feedback and evolving business requirements.

+ Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies.

Minimum Requirements:

+ Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

+ Demonstrated ability to deal with and process data from real-world sources.

+ Minimum of 3 years experience performing Exploratory Data Analysis (EDA).

+ Experience with model development (statistical modeling, machine learning).

+ Familiarity with the process of deploying models into production or working alongside teams that do.

+ Proven ability to translate business questions into data-driven problems.

+ Ability to translate data analysis results and model insights into clear, business-oriented solutions.

+ Proficiency in at least one major programming language used in data science (e.g., Python, R).

+ Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).

Preferred Qualifications:

+ PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

+ Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).

+ Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

+ Experience in Auto Industry

+ Data Scientist

+ Retail or Fleet Incentive, price, and Sales Domain Experience

+ GCP experience

+ Python Proficient in data scientist area

+ Statistic education background

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 (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf)

This position is a salary grade **7-8** .

This position is a range of salary grades **7-8.**

_* Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be on site at minimum 4+ day per week_** ***

_*Visa Sponsorship is not provided for this 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.

**\#** LI-Onsite

\#LI-GH2

**Requisition ID** : 48103