Data Scientist, Analytics – Trust & Safety

  • Remote-Friendly
  • TSPA Members
  • Remote, US (Remote)
  • This position has been filled
  • Experience level: 3+ years

Website twitch Twitch

This content was reproduced from the employer’s website on November 14, 2022. Please visit their website below for the most up-to-date information about this position.

About the Role

Data is central to Twitch’s decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with the team, shaping the way we build and refine operational processes, measure the efficacy of policy and deliver insights about safety that influence the way Twitch products are built. You will define what questions should be asked, and scale analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team.

For this role, we’re looking for a data scientist who will assist our Trust & Safety team, with a heavy focus on forecasting and planning to assist operational excellence. The Trust & Safety team’s mission is to make Twitch the trusted place for creators to build thriving communities. Your role on the team is to level up the understanding and capabilities of Trust & Safety stakeholders and guide them towards better decision making from the available data. In a typical week or month, you will be responsible for data instrumentation, dashboard/report building, metrics reviews, and ad hoc analysis.

This position can be based in San Francisco, CA or remotely across the US.

You Will:

  • Own one or more safety data verticals end to end; drive workstreams including data pipelining, data analysis, metric definition, dashboard building and data visualization.
  • Design and deploy end-to-end process and best practice tooling standards for forecasting and demand planning.
  • Own and improve demand planning KPIs on forecast accuracy by leveraging historical data and understanding upcoming policy and product changes
  • Cultivate relationships with cross-functional partners across operations, product, policy, and engineering to remove roadblocks, provide insight, and execute on high-impact projects to reduce harm to the Twitch community.
  • Prioritize and execute in the face of ambiguity: work with stakeholders and mentors to distill the problem, adapt your tools to answer complicated questions, and identify the trade-offs between speed and quality of different approaches.
  • Create analytical frameworks to measure team success: partner with cross-functional teams to define success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data, then develop a common language for all colleagues to understand these KPIs.
  • Operationalize data processes – provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business.
  • Work with product and engineering teams to build and maintain our data infrastructure to ensure the ability to use data to turn into insights.

You Have:

  • 3+ years of operations planning, demand planning, or forecasting experience
  • 3+ years of industry experience in a relevant field

Bonus Points

  • Knowledge of demand modeling (e.g., forecasting, planning, optimization etc. and its application to solve real-world staffing problems)
  • Experience with model building using regression, forecasting, time series, classification, clusteretc. Experience with quantitative analysis and hypothesis testing
  • Strong technical data skills including experience with a SQL dialect and experience building tools and automation to clean, transform, merge, and visualize data in a procedural language
  • Experience with data analysis and visualization tools (SQL, Tableau, Mode, Looker). Programming language skills with R/Python, Statistics or mathematics tools like R, MATLAB, SAS
  • Proven track record of using data to generate insight and drive business results
  • Effective written and verbal communication skills to justify forecasting plans to influence peers and executives.
  • Comfortable working independently; strong prioritization skills and demonstrated ability to manage stakeholder expectations
  • Must be comfortable working with highly sensitive and/or disturbing content