Twitch

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As a Data Scientist on the Money team at Twitch, you will focus on creator payouts, payments infrastructure, and fraud detection. You will measure and refine payout-related programs and support new monetization initiatives. This role involves analyzing policy and program changes, owning reporting and insights, partnering with stakeholders, writing and validating pipelines, and applying causal inference methods to estimate the impact of payout changes. This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross-functional projects.

<h3>About Us</h3> Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. 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 <a class="c-link" href="https://link.twitch.tv/TwitchLinkedinJD" target="_blank" data-stringify-link="https://link.twitch.tv/TwitchLinkedinJD" data-sk="tooltip_parent">LinkedIn</a>&nbsp;and&nbsp;<a class="c-link" href="https://link.twitch.tv/TwitchTwitterJD" target="_blank" data-stringify-link="https://link.twitch.tv/TwitchTwitterJD" data-sk="tooltip_parent">X</a>,&nbsp; and discover the projects we’re solving on our&nbsp;<a class="c-link" href="https://link.twitch.tv/TwitchBlogJD" target="_blank" data-stringify-link="https://link.twitch.tv/TwitchBlogJD" data-sk="tooltip_parent">Blog</a>. Be sure to explore our&nbsp;<a class="c-link" href="https://link.twitch.tv/TwitchInterviewingJD" target="_blank" data-stringify-link="https://link.twitch.tv/TwitchInterviewingJD" data-sk="tooltip_parent">Interviewing Guide</a>&nbsp;to learn how to ace our interview process. <h3>About the Role</h3> We’re looking for a Data Scientist to join the Money team at Twitch, which supports the systems behind creator payouts, payments infrastructure, and fraud detection. In this role you’ll focus on Payouts. Payouts is a high-leverage area that shapes how and when creators are paid and payout eligibility.&nbsp; You’ll work closely with product, engineering, finance, legal, and data partners to measure and refine our payout-related programs like the Plus Program and support new monetization initiatives to expand who can monetize on Twitch. While many changes are policy driven rather than AB tested, they require thoughtful measurement, reporting, operations, and causal reasoning. This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross–functional projects and grow into a senior role. You’ll need to be comfortable&nbsp; with writing SQL, working with imperfect data, and flexing into data workflows when data engineering coverage is limited. You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA <h3>You Will:</h3> <ul> <li>Analyze and evaluate policy and program changes that affect how creators are paid</li> <li>Own reporting and insights related to payout eligibility, earning, and program performance</li> <li>Partner with cross-functional stakeholders to inform product and business decisions</li> <li>Write, maintain, and validate pipelines to support recurring analytics and reporting</li> <li>Apply causal inference methods to estimate the impact of payout changes</li> </ul> <h3>You Have:</h3> <ul> <li>1+ years of experience as a data scientist, data analyst, or a related field</li> <li>Proficiency in SQL</li> <li>Proficiency with Python or R</li> <li>Understanding of Causal Inference concepts&nbsp; (ex/ DiD, matching, IPW, experiment design)</li> <li>Strong communication skills across technical and non-technical stakeholders</li> <li>High level of comfort creating dashboards</li> </ul> <h3>Bonus Points</h3> <ul> <li>Hands-on experience with Airflow, Sagemaker or deploying ML models in production environments</li> <li>Strong familiarity with econometrics&nbsp;</li> <li>Contribute to machine learning efforts in fraud or churn prediction</li> <li>Experience Ideating, executing, and analyzing A/B tests.</li> </ul> <h3>Perks</h3> <ul> <li>Medical, Dental, Vision &amp; Disability Insurance</li> <li>401(k)</li> <li>Maternity &amp; Parental Leave</li> <li>Flexible PTO</li> <li>Amazon Employee Discount</li> </ul> &nbsp; Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.&nbsp; Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.&nbsp; Job ID: TW8811

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SailPoint is seeking a Senior Software Triage Engineer to join their team as a Senior Application Support Engineer. This is a remote position focused on identity security for cloud enterprises. The role involves being the first line of defense for complex technical issues escalated from lower support tiers. Responsibilities include diagnosing, reproducing, and driving resolutions for challenging problems within a SaaS-based microservices architecture. The engineer will collaborate with engineering, product, and DevOps teams to enhance platform stability and performance. Key duties involve analyzing logs, debugging, working on an on-call rotation, and contributing to root cause analysis and process improvements. The ideal candidate will have 5+ years of experience in a similar role, with a strong understanding of microservices and distributed systems, and familiarity with technologies like AWS, Kubernetes, and Docker.

Ansira is the leading marketing platform for brands that operate in distributed ecosystems. By orchestrating the entire brand-to-local value chain, Ansira synchronizes global companies’ internal and external teams across channels, markets and regions. Ansira leverages AI-powered technology, vertical expertise, local insights and strategic partnerships to optimize marketing performance and empower partner growth at scale.

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Your role is to diagnose, reproduce, and&nbsp;drive resolutions for challenging problems in a SaaS-based microservices architecture.&nbsp;You will collaborate with engineering, product, and DevOps teams to improve the&nbsp;stability and performance of our cloud platform.Responsibilities:<ul><li>Handling an 8am to 8pm US CST on call rotation every 7 weeks</li><li>Develop a deep technical understanding of SailPoint’s Identity Security Cloud and&nbsp;its microservices-based architecture.</li><li>Investigate and triage complex customer-reported issues by analyzing logs,&nbsp;</li><li>debugging, and reproducing errors.</li><li>Work closely with Support, Engineering, and DevOps teams to escalate and resolve critical incidents efficiently.</li><li>Collaborate with Support to gather additional information and guide them through issue resolution.</li><li>Contribute to root cause identification and help implement long-term fixes.</li><li>Suggest process improvements to enhance troubleshooting efficiency.</li><li>Maintain and enhance knowledge base documentation to improve internal and customer-facing support resources.</li></ul>Required Experience:<ul><li>5+&nbsp;years in a Support Level 2/ 3 or equivalent and higher, Site Reliability, Sustaining, or Implementation organization of B2B Enterprise Software (SaaS preferred, on-premise welcome).</li><li>Basic object-oriented code and script comprehension in Java, Python, Ruby or other relevant language.</li></ul>What We Look For:<ul><li>Experience working with ticketing system</li><li>Strong understanding of microservices architecture and debugging distributed systems.</li><li>Passion and expertise working with engineering, product, and support teams.</li><li>Knowledge of current development strategies and trends across web and mobile&nbsp;platforms</li><li>Familiarity with&nbsp;REST API, AWS, Kubernetes, Docker, OAuth2.0, Microservice&nbsp;Architecture Patterns.</li><li>Experience with log analysis and debugging tools (e.g., Kibana (ELK Stack),&nbsp;Splunk, or similar).</li><li>Strong problem-solving and analytical skills with a focus on evidence-based&nbsp;debugging.</li><li>Excellent communication skills and ability to collaborate effectively across teams.</li><li>Experience with the identity security industry, a plus.</li></ul>30/60/90-Day Goals for &nbsp;Senior Software Triage Engineer (Senior Application Support Engineer)Within the First Month (0-30 Days)<ul><li>Onboard into the role, gaining familiarity with SailPoint’s Identity Security Cloud&nbsp;and microservices-based architecture.</li><li>Set up your local development and test environment, ensuring access to all&nbsp;necessary tools and repositories.</li><li>Attend onboarding sessions to understand internal processes, team structure,&nbsp;and product offerings.</li><li>Shadow senior engineers to learn triage workflows and issue resolution&nbsp;processes.</li><li>Review documentation, codebases, and system architectures to build&nbsp;foundational backend knowledge.</li><li>Gain hands-on experience with monitoring tools, logs, and debugging&nbsp;methodologies.</li></ul>Within 3 Months (30-90 Days)<ul><li>Develop a strong understanding of product architecture, terminologies, and debugging processes.</li><li>Start taking ownership of small triage tasks, debugging issues, and proposing fixes with guidance.</li><li>Actively participate in standups, design discussions, and code reviews.</li><li>Collaborate with cross-functional teams (Development, Support, DevOps) to resolve customer-impacting issues efficiently.</li><li>Gain exposure to AWS-based deployments, microservices monitoring, and performance optimization.</li><li>Begin contributing unit tests and small enhancements to microservices.</li><li>Document recurring issues and solutions to improve internal knowledge sharing.</li></ul>6 Months &amp; 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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

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Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

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