Lead Data Scientist
# Lead Data Scientist
## About the Role
May Mobility is seeking a Lead Data Scientist to extract insights from large datasets, develop predictive and machine learning models, and drive data-informed decision-making across the organization. This role partners with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes.
The successful candidate will bring strong analytical and statistical expertise, experience with machine learning, and the ability to communicate complex findings clearly to technical and non-technical stakeholders. The role also includes mentoring team members and contributing to a culture of continuous learning and improvement.
## Key Responsibilities
- Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets.
- Apply mathematical and statistical techniques to spatial and temporal data.
- Develop and implement advanced predictive models.
- Build data visualizations, dashboards, and reports for internal and external customers.
- Write efficient and maintainable code.
- Optimize code for scalability and performance.
- Collaborate with cross-functional teams on data science initiatives.
- Develop and optimize data pipelines.
- Ensure data quality and validation of analytical results.
- Communicate complex analytical findings to non-technical stakeholders.
- Mentor team members and contribute to continuous learning and improvement.
## Required Qualifications
- B.S., M.S., or PhD degree in Engineering, Data Science, Mathematics, Statistics, or a related field.
- 7+ years of experience in data science.
- 2+ years of experience with programming languages such as Python and frameworks such as PySpark.
- Experience working with large and complex datasets.
- Experience working with databases such as Postgres, MySQL, or SQL Server.
- Track record of writing optimized, scalable code.
- Strong analytical skills with the ability to manipulate and analyze large datasets.
- Strong problem-solving skills with a focus on validation and accuracy of results.
- Excellent communication and presentation skills, including the ability to convey complex findings to non-technical stakeholders.
- Ability to work independently and as part of a team.
- Experience developing and optimizing data pipelines and ensuring data quality.
## Preferred Qualifications
- Background in robotics or a related field.
- Understanding of temporal and spatial data concepts.
- Experience or knowledge relevant to robotics-related data science applications.
## Skills & Competencies
- Data science
- Statistical analysis
- Machine learning
- Predictive modeling
- Mathematical and statistical techniques
- Spatial data analysis
- Temporal data analysis
- Python
- PySpark
- Large-scale data analysis
- Database technologies
- Postgres
- MySQL
- SQL Server
- Data pipelines
- Data quality
- Data visualization
- Dashboards and reporting
- Scalable and optimized code
- Analytical problem-solving
- Validation and accuracy
- Communication and presentation
- Cross-functional collaboration
- Independent work
- Teamwork
- Mentoring
- Continuous learning
## Education & Experience
**Education**
- B.S., M.S., or PhD degree in Engineering, Data Science, Mathematics, Statistics, or a related field.
**Experience**
- 7+ years of experience in data science.
- 2+ years of experience with Python and frameworks such as PySpark.
- Experience working with large and complex datasets.
- Experience with Postgres, MySQL, SQL Server, or similar databases.
- Experience writing optimized and scalable code.
- Experience developing and optimizing data pipelines and maintaining data quality.
## Work Arrangement & Schedule
- **Work Arrangement:** Remote
- **Location:** Ann Arbor, MI, US
- **Employment Type:** Not specified in the provided job description.
- **Expected Weekly Hours:** Not specified.
- **Travel:** 0%
- **Work Environment:** Remote employees work primarily from home or an alternative workspace.
- **Physical Requirements:** Prolonged sitting, prolonged standing, prolonged computer use, and ability to lift up to 50 pounds.
## Compensation & Benefits
- **Salary Range:** $167,000–$190,000 USD
- The stated salary range applies to a position located in Michigan and may vary across different U.S. locations.
- Comprehensive healthcare coverage, including medical, dental, vision, life, and disability plans.
- Health Savings Account and Flexible Spending Accounts for healthcare and dependent care.
- Retirement benefits, including an immediately vested employer safe harbor match.
- Paid parental leave with immediate eligibility and a phased return to work.
- Flexible vacation policy.
- 18 paid company holidays.
- Total Wellness Program with resources supporting overall wellbeing.
- Domestic partners who have resided together for at least one year are eligible to participate in applicable healthcare plans.
## Compliance / Additional Information
May Mobility provides reasonable accommodations to enable individuals with disabilities to perform the essential functions of the role.