Data Scientist, Analytics - Trust & Safety
Job summaryAbout Us:
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more.
It's where millions of people come together to chat, interact, and make their own entertainment.
We're about community, inside and out.
You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together.
We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and Twitter, get interviewing tips on Instagram, and discover projects we're solving on our Blog.
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:
o Own one or more safety data verticals end to end; drive workstreams including data pipelining, data analysis, metric definition, dashboard building and data visualization.
o Design and deploy end-to-end process and best practice tooling standards for forecasting and demand planning.
o Own and improve demand planning KPIs on forecast accuracy by leveraging historical data and understanding upcoming policy and product changeso 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.
o 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.
o 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.
o 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.
o Work with product and engineering teams to build and maintain our data infrastructure to ensure the ability to use data to turn into insights.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more.
It's where millions of people come together to chat, interact, and make their own entertainment.
We're about community, inside and out.
You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together.
We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and Twitter, get interviewing tips on Instagram, and discover projects we're solving on our Blog.
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:
o Own one or more safety data verticals end to end; drive workstreams including data pipelining, data analysis, metric definition, dashboard building and data visualization.
o Design and deploy end-to-end process and best practice tooling standards for forecasting and demand planning.
o Own and improve demand planning KPIs on forecast accuracy by leveraging historical data and understanding upcoming policy and product changeso 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.
o 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.
o 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.
o 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.
o Work with product and engineering teams to build and maintain our data infrastructure to ensure the ability to use data to turn into insights.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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