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# data scientists and machine learning engineers

- **Company:** May Mobility
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $200,591.0 - $295,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Data Analysis, Big Data, Software Quality, Databases, Data Mining, Python (Programming Language), Machine Learning, NumPy, Software Engineering, Software Requirements Analysis, SQL Databases, Apache Spark, Deep Learning, Pandas, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/tech-lead-performance-evaluation-may-mobility-7709361

## About the Role

Success in this role typically requires the following competencies:

 * Expertise in analyzing high-dimensional simulation data.
 * Experience building ML prediction models.
 * Detail-oriented with a focus on validation, testing, and error detection.
 * Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
 * Excellent problem-solving skills with a meticulous approach to model architecture and optimization.
 * Ability to provide individual and team mentorship, including technical leadership for complex projects., * B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
 * 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning.
 * Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
 * Demonstrated expertise in databases for data extraction, transformation, and analysis.
 * Proven experience building and managing large datasets and evaluations.
 * Hands-on expertise in architecting and training complex predictive machine learning models.
 * Prior experience in mentoring and supporting junior engineers.

Desirable

 * Background in Autonomous vehicles, robotics, physics or related fields.
 * Hands-on experience working with simulation data.

## Description

* Evaluate simulation test results to drive release & safety decisions.
 * Work independently with cross functional teams to develop software and system requirements.
 * Lead team code quality activities including design and code reviews.
 * Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations.
 * Provide technical guidance to team members.


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