Data Scientist (LAP)

Ford Motor Company • Louisville, KY

11h • $86,600 - $144,900 • Onsite

About The Position

As part of Ford Motor Company’s Manufacturing team, the Data Scientist will use manufacturing IIoT data to drive operational improvements and develop intelligent solutions for smart factory initiatives. The role spans the data science lifecycle, including data ingestion using MQTT, cloud processing on Google Cloud Platform, machine learning with Python and SQL, and development of interactive user interfaces and dashboards. The position translates complex industrial data into actionable insights and supports manufacturing efficiency and business strategy.

The position is salary grade 7, with a stated salary range of $86,600–$144,900. Visa sponsorship is not available. Candidates must be legally authorized to work in the United States, and employment eligibility will be verified at hire.

Requirements

• Bachelor’s degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline.
• Proficiency in tools and programming languages such as Python, R, SQL, or similar.
• Strong skills in handling structured and unstructured datasets for reporting and modeling.
• Excellent communication skills, including the ability to simplify complex concepts for diverse audiences.
• Ability to work independently and exercise sound judgment on technical approaches.

Nice To Haves

• Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis.
• Experience with Python libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Dash, Streamlit, Flask, or FastAPI.
• Advanced SQL querying, stored procedures, and query optimization.
• Google Cloud Platform experience, including BigQuery, Google Cloud Storage, Vertex AI, Dataflow, Pub/Sub, or Dataproc.
• Experience with MQTT, ETL/ELT data pipelines, data cleaning and preprocessing, data integration, or data mining.
• Knowledge of IIoT architectures and principles, manufacturing environments, equipment data, or Rockwell Automation technologies such as ControlLogix, PLCs, VFDs, and Studio 5000.
• Experience with quality control or prediction, process optimization, time-series analysis, classification, regression, clustering, statistical modeling, or hypothesis testing.
• Experience with dashboarding tools such as Tableau, Power BI, Looker, Dash, Streamlit, or Bokeh; UI/UX principles and data storytelling.
• Git, Agile methodologies, and basic API development.

Responsibilities

• Develop and validate machine learning and statistical models to support business strategy.
• Gather, manage, and analyze structured and unstructured data for reporting and analytics.
• Research and apply innovative analytical methodologies and techniques.
• Collaborate with cross-functional teams to define objectives and develop actionable insights.
• Interpret and present analytical results.
• Create comprehensive reports, projections, and visual presentations.
• Adhere to established guidelines and contribute to strategic discussions.

Benefits

• Immediate medical, dental, and prescription drug coverage.
• Flexible family care, parental leave, new parent ramp-up programs, and subsidized back-up childcare.
• Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
• Vehicle discount program for employees and family members, and management leases.
• Tuition assistance.
• Employee resource groups.
• Paid time off for individual and team community service.
• Paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level