Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise.
This role will work across business functions such as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance.
The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and operationalize models from concept through production.
Design, develop, and maintain statistical, machine learning, and AI models that extract actionable business and technical insights from large, complex datasets.
Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining.
Collaborate with business and engineering stakeholders to conduct needs assessments and requirements gathering, translating business questions into analytical solutions.
Perform advanced data analysis, data preparation, and model validation; translate insights into clear, actionable recommendations for management and internal customers.
Deploy and operationalize models using MLOps best practices, including versioning, monitoring, performance tracking, and continuous improvement.
Prepare and deliver executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences.
Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives.
Support training and enablement of associates on new analytics tools, systems, and processes.
Apply statistical and analytical expertise to advance regional and enterprise-wide digital transformation initiatives.
Stay current with industry trends and emerging technologies in data analytics, machine learning, and AI through ongoing learning, conferences, and training.
Perform other duties as assigned.

Requirements

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field
2-5 years of relevant experience in data science, analytics, machine learning or AI
Automotive, manufacturing, or industrial experience preferred.
Proficiency in Python and SQL; experience with R or Java a plus.
Experience working with large-scale datasets, databases, and distributed data processing environments.
Hands-on experience with cloud-based data science platforms, preferably Databricks and lakehouse architectures.
Understanding of MLOps practices, including model deployment, monitoring, retraining, and lifecycle management.
Familiarity with data modeling, feature engineering, and analytics pipelines.
Exposure to IoT and industrial data concepts (e.g., sensor data, APIs, OPC UA/DA, streaming data) is a plus.
Knowledge of BI and visualization tools to support insight delivery.
Strong analytical and problem-solving skills, with the ability to independently develop innovative solutions to complex business challenges.
Ability to translate data science concepts into practical, production-ready solutions.
Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into real-world applications.
Excellent written, verbal, and presentation skills, with the ability to communicate effectively at all organizational levels, including senior leadership.
Demonstrated ability to build strong working relationships and function effectively in cross-functional teams.
Continuous improvement mindset with a focus on quality, scalability, and business value.
Ability to apply structured process improvement and quality methodologies to personal work and to support others in identifying gaps and improvements.

Benefits

Medical, Dental, Vision, Prescription Drug plans
401K with 4% Company Match
Vacation/PTO and 13 paid Holidays
Bonus Program
FSA/HSA and Dependent Care Programs
Company provided Life, Disability, ADD and Business Travel Insurance
Various No Cost Wellness & Chronic Condition Management Programs
Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
Tuition Reimbursement
Career Development and Ongoing Training
Employee Assistance Program
Employee Spotlight and Recognition Program
Volunteer Opportunities
Onsite Fitness Center (vary by location)
Cafeteria and food markets (vary by location)
Onsite Health Clinic and Pharmacy (vary by location)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical analysismachine learningartificial intelligencedata aggregationfeature engineeringdata miningPythonSQLRJava

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaborationpresentation skillsrelationship buildingcontinuous improvement mindsetindependent developmenttranslating conceptscross-functional teamwork