May Mobility is looking to solve complex data analysis problems to drive business decision-making and optimize processes.
Requirements
- Proficiency in programming languages such as Python and frameworks like PySpark
- Experience working with large and complex datasets
- Experience working with databases, such as Postgres, MySQL, SQL Server
- Track record of writing optimized, scalable code
- Background in robotics or related field and understanding of temporal and spatial data concepts
Responsibilities
- Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets
- Apply mathematical and statistical techniques for spatial and temporal data
- Develop and implement advanced predictive models
- Build data visualization, dashboards, and reports for internal and external customers
- Write and optimize efficient, maintainable code, collaborating with cross-functional teams
Other
- Strong analytical skills with the ability to manipulate and analyze large datasets
- Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders
- Strong problem-solving skills with a focus on validation and accuracy of results
- Ability to work independently and as part of a team
- Ability to mentor team members and contribute to culture of continuous learning and improvement
- B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field
- 7+ years of experience in data science
- 2+ Experience with programming languages such as Python and frameworks such as Pyspark
- Standard office working conditions which includes but is not limited to: Prolonged sitting, Prolonged standing, Prolonged computer use, Lift up to 50 pounds
- Remote role based out of Ann Arbor, MI
- Travel requirements - 0%
