Acquire a deep understanding of complex engineering and business problems and translate them into scalable AI/ML solutions.
Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google Cloud Platform (GCP).
Act as a full-stack data scientist to develop and deliver advanced analytics models, including forecasting, anomaly detection, optimization, LLM, and more.
Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and production-level model development.
Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results.
Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.

Requirements

Master's degree (M.S.) in Data Science, Computer Science, Industrial & System Engineering, Mechanical Engineering, or a related quantitative field or equivalent combination of relevant education and experience.
2+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment. Equivalent experience gained through internships or specialized coursework may be acceptable.
2+ years of experience in cloud, GCP preferred, with solutions designed and implemented at production scale. Equivalent experience gained through internships or specialized coursework may be acceptable.
2+ years of experience in advanced modeling, optimization, operational research Equivalent experience gained through internships or specialized coursework may be acceptable.
Expertise in SQL for data querying, manipulation, and database interaction.
Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
Experience working with Terraform to provision Infrastructure as Code.
Experience in the electrification and/or transportation domain, specifically regarding battery chemistry or vehicle powertrain systems.
Experience in forecasting algorithms, anomaly detection algorithms, multi-objective optimizations, or physics-informed neural networks.
Experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation.
Experience in time-series forecasting, physics-informed neural networks, or multi-objective optimization.

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.

Applicant Tracking System Keywords

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

Hard Skills & Tools

AI/MLPythonSQLdata ingestiondata preprocessingmodel trainingmodel evaluationmodel deploymentforecasting algorithmsanomaly detection

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingpresentation skills

Certifications

Master's degree in Data ScienceMaster's degree in Computer ScienceMaster's degree in Industrial & System EngineeringMaster's degree in Mechanical Engineering