Remote Otter LogoRemoteOtter

Manager, Data Science - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide

Overview

We are looking for a hands-on Data Science Manager to lead our Fulfillment Data Science team. In this role, you will help build foundational data infrastructure and deliver insights that directly shape Turing’s vetting and fulfillment operations. This is a high-impact role for a technically skilled and collaborative leader who can scale data-driven products and workflows that serve Turing’s 3M+ global talent cloud.

In Short

  • Build and lead a high-performing team of data scientists and data analysts
  • Drive actionable product and operational insights, opportunity analyses, and metric tracking to guide product direction and success
  • Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design etc.
  • Design and maintain core data pipelines and conduct hands-on analysis of large-scale data
  • Translate complex analyses into compelling narratives and visualizations that drive executive and cross-functional decision-making
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
  • Enjoy working in a fast-paced product development cycle.

Requirements

  • Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Applied Math, Physics, Engineering)
  • 8+ years of hands-on data science experience, including work with large-scale structured and unstructured data
  • 3+ years of experience managing data science teams

Benefits

  • Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
  • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
  • Competitive compensation
  • Flexible working hours
  • Full-time remote opportunity

Turing

Turing

Turing is a dynamic and innovative startup focused on enhancing the vetting and evaluation processes for candidates in the tech industry. The company is dedicated to building robust systems that streamline operations and ensure the quality of its large language model (LLM) delivery pipeline. With a strong emphasis on full-stack development, Turing fosters a collaborative environment where engineers work closely with product managers, data scientists, and human operations teams to create impactful solutions. The fast-paced nature of the startup allows team members to take on diverse roles and drive initiatives that significantly influence product and business outcomes.

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