Description

Key Responsibilities:

  • Lead end-to-end data science projects, establishing best practices and methodologies.
  • Design and implement advanced models and algorithms to solve mobility-related challenges, including IoT data applications.
  • Analyze structured and unstructured datasets using Python and SQL to extract actionable insights.
  • Partner with engineers, product managers, and stakeholders to integrate data-driven solutions into products.
  • Drive thought leadership, including publications, patents, and insights within the industry.
  • Mentor team members and foster a culture of innovation and continuous improvement.
  • Deploy machine learning models in production environments and present findings to stakeholders effectively.

 

Qualifications:

  • 10+ years of data science experience, including leadership of complex projects.
  • Expertise in Python (e.g., Pandas, NumPy, Scikit-Learn, SciPy) and SQL.
  • Familiarity with AWS or similar cloud platforms, and infrastructure as code concepts (e.g., Terraform).
  • Experience with Snowflake, data visualization tools like Apache Superset, and machine learning implementation.
  • Excellent problem-solving and communication skills, with the ability to explain data insights to non-technical stakeholders.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field

Education

Bachelor's Degree