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Lead Operations Data Scientist

Lead Operations Data Scientist

ektelloSan Francisco, CA, United States
1 day ago
Job type
  • Temporary
Job description

Technical Recruiter at Ektello "Working with major companies throughout the US."

Senior Analytics Lead, Product & Operations

Rate : Highly negotiable

Location : Full Remote

Contract Length : 12+ month contract to (hire + multi-extension capability)

Summary

We are seeking a highly skilled and experienced Senior Analytics Lead to drive data-driven decision-making across our Product and Operations teams. This role requires a blend of analytical expertise, strategic thinking, and strong communication skills to empower cross-functional teams and enhance the user experience.

Responsibilities

  • Design, execute, and evaluate product and operational launches using advanced techniques such as A / B testing and causal inference, providing actionable insights to improve product and customer experience.
  • Develop and maintain key metrics, dashboards, and data sets to monitor performance, drive AirCover OKRs, and identify opportunities for user experience enhancements.
  • Partner with Product, Operations, and Engineering teams to define metric and logging specifications, ensuring data quality and consistency for robust reporting and analysis.
  • Cultivate data literacy across Product and Operations, providing guidance on data tools, data products, and best practices for self-service data exploration.
  • Communicate analytical findings and strategic recommendations to senior leadership and stakeholders, influencing product and operational roadmaps.
  • Collaborate with leadership to define and deliver a strategic analytics roadmap, aligning analytical efforts with business objectives.
  • Prioritize and deliver ad-hoc data requests from Operations and Product teams, ensuring timely insights that drive business value.
  • Identify, build, and implement AI-powered tools to enhance analytical capabilities and accelerate time to insights for both individual use and stakeholder empowerment.

Qualifications

  • 5+ years of industry experience in business analytics.
  • Degree (Master's or PhD preferred) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
  • Demonstrated experience supporting or working closely with Operations teams.
  • Expert proficiency in SQL and at least one programming language for data analysis (Python or R).
  • Proven experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally within a multi-sided platform environment.
  • Working knowledge of schema design, high-dimensional data modeling, and ETL best practices.
  • Ability to thrive in a fast-paced, ambiguous, and complex environment, demonstrating comfort with minimal planning and direction.
  • Seniority Level

  • Mid-Senior level
  • Employment Type

  • Contract
  • Job Function

  • Engineering and Information Technology
  • Industries

  • Staffing and Recruiting
  • Benefits

  • Medical insurance
  • Vision insurance
  • 401(k)
  • #J-18808-Ljbffr

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