Data Scientist Lead

  • 34997
  • Non-Life - Data Science
  • |
  • California, United States
  • |
  • Mar 29, 2019
Insurance
RESPONSIBILITIES
  • Identify proper data sources necessary for projects and ensure they are accurately imported and joined. Create execution plan and assist analysts in their efforts to implement.
  • Identify proper analytic methodology and ensure analytic efforts are executed correctly. Create execution plans and assist analysts in efforts to implement
  • Ensure all projects have proper documentation taking into account potential regulatory, legal, or business concerns.
  • Fully lead analysts functionally including division of tasks/resources across projects and ensuring analysts are productive and grow.
  • Lead communication of project results/challenges to business partners in ways they can understand. Proactive communication of delays to planned efforts.
  • Ensure project tasks are fully planned including understanding of how implementation affects other units, how to measure results, how to achieve the expected benefit, etc.
  • Identify and propose new technologies and tools that could benefit the Big Data team.
QUALIFICATIONS
  • Minimum Bachelor’s degree in a quantitative or technical field with Master’s degree preferred.
  • 5+ years’ experience in a traditional data or analytics corporate environment.
  • Strong SQL skills.
  • R, Python, Tableau familiarity.
  • Knowledge of Hadoop, Distributed Systems, and Big Data ecosystem.
  • Able to rapidly learn new processes/subjects.
  • Innovative mindset with demonstrated creativity or innovation in some past work experience preferred.
  • Demonstrated leadership abilities, whether in a formal or informal role.
  • Ability to understand the big picture and drive the initiatives the lead to completion of the overall big picture.
  • Ability to work in cross-functional/departmental groups and keep multiple moving pieces straight.
  • Mentor and assist analysts in their respective functions and responsibilities.