Lead Data Scientist

closed
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May Mobility

πŸ’΅ $167k-$190k
πŸ“Remote - United States

Summary

Join us at May Mobility as we transform cities through autonomous technology to create a safer, greener, more accessible world. 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.

Requirements

  • 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

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

Benefits

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans
  • 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
This job is filled or no longer available

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