Data Scientist

We are seeking a hands-on Data Scientist with 5+ years of experience applying statistics, machine learning, and analytics to solve business problems.

Job Description

As a Data Scientist at Ford Motor Company, you will partner with business stakeholders to frame problems, define success metrics, and translate business needs into analytical and data science solutions.

Responsibilities

• Partner with business stakeholders to frame problems, define success metrics, and translate business needs into analytical and data science solutions.
• Perform exploratory data analysis, statistical analysis, hypothesis testing, and experimentation to identify patterns, drivers, and opportunities.
• Design, develop, evaluate, and refine machine learning and statistical models for use cases such as forecasting, classification, segmentation, and anomaly detection.
• Apply appropriate validation methods; assess model performance and limitations; and communicate uncertainty, assumptions, and trade-offs.
• Prepare, transform, and integrate structured, semi-structured, and unstructured data. Develop reusable features and analytical datasets using Python and SQL.
• Collaborate with data engineers to understand and improve data pipelines, data models, quality checks, lineage, and access patterns; contribute to pipeline development where needed.
• Partner with ML engineers and engineering teams to operationalize models, automate workflows, and monitor model performance and data drift.
• Use cloud data and analytics platforms such as BigQuery and related orchestration or processing tools to access and process data at scale.
• Create visualizations, dashboards, and narratives that translate analytical results into actionable recommendations for technical and business audiences.
• Apply reproducible development and MLOps practices, including version control, testing, documentation, and CI/CD, in collaboration with engineering teams.
• Follow data governance, privacy, security, and responsible AI practices throughout the analytics and model lifecycle.
• Explore and evaluate emerging analytical, machine learning, and generative AI techniques where they address business needs.

Qualifications

• Bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in data science, advanced analytics, applied statistics, or machine learning.
• Strong proficiency in Python and SQL for data extraction, preparation, analysis, modeling, and automation.
• Solid understanding of statistical inference, hypothesis testing, experimental design, and model validation.
• Experience developing and evaluating predictive or statistical models using libraries such as scikit-learn, statsmodels, pandas, NumPy, and SciPy, or equivalent tools.
• Working knowledge of data engineering concepts, including ETL/ELT, data pipelines, data modeling, data quality, and orchestration.
• Experience working with cloud data platforms or enterprise data ecosystems, such as Google Cloud and BigQuery, or equivalent technologies.
• Experience communicating insights using visualizations, dashboards, or presentations for business and technical stakeholders.
• Familiarity with Git, code reviews, documentation, testing, and agile delivery practices.
• Strong problem-solving, collaboration, and communication skills.

What We Offer

• A collaborative and innovative environment focused on using data and AI to solve enterprise challenges.
• Opportunities to work on advanced analytics, machine learning, and modern cloud data platforms.
• A chance to deliver actionable insights and scalable solutions that support Ford Motor Company’s business decisions.
• Professional development, technical upskilling, and opportunities to contribute to analytics and AI best practices.
• A competitive salary and benefits package.