Sr. Data Scientist

This is a high-visibility role that requires someone who can lead the building of data science products for production. Our team is a self-contained product development team with the breadth of skills needed to deliver rapid prototypes. You will be responsible for the translation of product needs into functional architectures, technical requirements, and development. Additionally, proactive mentorship and guidance of Data Science team members will be a critical element of your day-to-day responsibilities.


The role reports into the SVP of Data Science but will have responsibility for leading the day-to-day operations of the data science team. Your time will be equally split between lead responsibilities and Individual Contributor work (so excellent coding and analytical skills remain a priority).


In this role, not only will you show off your deep knowledge of traditional Data Science disciplines (Machine Learning, Statistics, coding, etc.), but you will use your understanding of product development processes to rapidly turn ideas into a reality.




What you’ll do:

  • Convert your understanding of user needs and stakeholder desires into architectures, algorithms, and product requirements
  • Collaborate with a Technical Product Manager to deliver clearly defined user stories for data scientists and engineers to execute
  • Drive predictable progress through use of Agile methods
  • Mentor Data Science staff to achieve development and career goals
  • Review team members’ code to ensure execution is clear, efficient, and in alignment with acceptable coding standards
  • Implement solutions for tasks not solvable by the less experienced staff

Requirements: 

  • 4+ years in Data Science roles with 1+ years of leading/mentoring Data Scientists
  • Experience leading Agile development processes
  • Exceptional problem solving and data insight skills
  • Strong coding background, including Python for data manipulation and analysis (w/ emphasis using Pandas); and SQL.
  • Experience using remote infrastructure (AWS, Google, Azure, etc)
  • Business acumen and intuition that enable high quality hypotheses to explore
  • Interpersonal skills to work with teammates from varying backgrounds to translate business needs into analysis requirements

Benfits: 

Contractor Schema

3 days of Home office , 2 days onsite

Law benefits