Data Scientist (LAP)

Ford•Louisville, KY
•$86,600 - $144,900•Onsite

About The Position

As part of Ford Motor Company’s Manufacturing team, the Data Scientist will use IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions for smart factory initiatives. The role spans the data science lifecycle, including MQTT data ingestion, cloud-based processing on Google Cloud Platform, machine learning and statistical modeling, and developing interactive user interfaces and dashboards. The position focuses on translating complex industrial data into actionable insights. The role involves developing and validating models, managing and analyzing structured and unstructured data, researching analytical methods, collaborating across teams, interpreting and presenting results, and producing reports, projections, and visual presentations. The position is salary grade 7, with a stated range of $86,600–$144,900. Visa sponsorship is not available; candidates must be legally authorized to work in the United States.

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.
  • Proven 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.

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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service