Lead Data Scientist

May Mobility; Ann Arbor (MI); Remote; USD 167,000 - 190,000; Full time

Benefits offered by this job

Healthcare

HSA/FSA

Retirement plan

Parental leave

Vacation + holidays

Wellness program

Job summary

May Mobility in Ann Arbor, MI is seeking a Lead Data Scientist to extract insights from large datasets, develop predictive models, and drive data‑driven decision making across the organization. You will collaborate with cross‑functional teams to identify business opportunities, solve complex problems, and optimize processes, while communicating complex findings clearly to stakeholders.

The role emphasizes building scalable data pipelines, applying advanced ML techniques, and mentoring teammates

Qualifications

• BS, MS or PhD in Engineering, Data Science, Math, Statistics, or related field
• 7+ years of experience in data science
• 2+ years with Python and PySpark
• Experience with large and complex datasets
• Experience with databases such as Postgres, MySQL, SQL Server
• Track record of writing optimized, scalable code

Responsibilities

• Analyze, build, test, and implement statistical and ML models to extract insights from large datasets
• Apply mathematical and statistical techniques for spatial and temporal data
• Develop and implement advanced predictive models
• Build data visualizations, dashboards, and reports for internal and external customers
• Write and optimize efficient, maintainable code in collaboration with cross-functional teams

Skills

Analytical skills

Communication

Problem solving

Python

PySpark

Teamwork

Mentoring

Data pipelines

Data quality

Self-motivation

Education

Bachelor/Master/PhD in Engineering/Data Science/Math/Statistics

Tools

Postgres

MySQL

SQL Server

SQL

Job description

As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders.

Essential 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

Skills and Abilities

• 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
• Proficiency in programming languages such as Python and frameworks like PySpark
• Ability to work independently and as part of a team
• Ability to mentor team members and contribute to culture of continuous learning and improvement
• Experience in developing and optimizing data pipelines and ensuring data quality

Qualifications and Experience

Required

• 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
• Experience working with large and complex datasets
• Experience working with databases, such as Postgres, MySQL, SQL Server
• Track record of writing optimized, scalable code

Desirable

• Background in robotics or related field and understanding of temporal and spatial data concepts

Physical Requirements

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.
• Remote employees work primarily from home or an alternative work space.
• Travel requirements - 0%

The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States.

Salary Range

$167,000—$190,000 USD

Benefits and Perks

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate!
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave with immediate eligibility as well as a phased return to work.
• Flexible vacation policy in addition to 18 paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing