Lead Data Scientist

May Mobility
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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

Company Info.

May Mobility

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

  • Industry
    Computer software,Robotics company
  • No. of Employees
    200
  • Location
    Ann Arbor, MI, USA
  • Website
  • Jobs Posted

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May Mobility is currently hiring Lead Data Scientist Jobs in Ann Arbor, MI, USA with average base salary of $167,000 - $190,000 / Year.

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