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senior data scientist

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We&rsquo;re looking for a
 
 Product Data Scientist
 
 who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
 
 
 
 In This Role, You Will
 
 
 
 
 🔍 Generate Insights &amp; Shape Product Direction
 
 
 
 <ul>
 <li>
 Define and own the KPIs that measure product health, user engagement, and marketplace performance.
 </li>
 <li>
 Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
 </li>
 <li>
 Translate complex data into actionable recommendations for product and leadership teams.
 
 
 </li>
 </ul>
 
 🧪 Drive Experimentation &amp; Measurement
 
 
 
 <ul>
 <li>
 Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
 </li>
 <li>
 Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
 </li>
 <li>
 Build scalable methodologies to understand feature performance and guide iteration.
 
 
 </li>
 </ul>
 
 🛠 Build Data Products &amp; Tools
 
 
 
 <ul>
 <li>
 Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
 </li>
 <li>
 Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
 
 
 </li>
 </ul>
 
 🤝 Lead Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
 </li>
 <li>
 Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
 </li>
 <li>
 Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
 
 
 </li>
 </ul>
 
 US Based
 
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 
 🎓 Experience &amp; Expertise
 
 
 
 As our next
 
 Product Data Scientist
 
 , you bring:
 
 
 <ul>
 <li>
 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
 </li>
 <li>
 A bachelor&rsquo;s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
 </li>
 <li>
 Proven experience applying statistical and analytical methods to real-world product problems.
 
 
 </li>
 </ul>
 
 🧠 Technical Skills
 
 
 
 <ul>
 <li>
 Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
 </li>
 <li>
 Proficiency with Python or R for data analysis, modeling, and experimentation.
 </li>
 <li>
 Experience designing and analyzing A/B tests and understanding causal inference techniques.
 </li>
 <li>
 Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
 
 
 </li>
 </ul>
 
 🗣 Collaboration &amp; Leadership
 
 
 
 <ul>
 <li>
 Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
 </li>
 <li>
 Experience leading cross-functional projects and influencing product strategy with data.
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
 
 
 </li>
 </ul>
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary) US based applicants:
 
 $185,000/year to $240,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $185K - $240K
 
 
</div>

Data Scientist, Product Analytics

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 In Order To Continue This Growth, It&rsquo;s Important That Whatnot Remains a Safe And Trusted Space To Interact And Transact. We&rsquo;re Looking For a Data Scientist With Expertise In Fraud And Risk To Detect And Prevent These Threats To Our Community. You Will
 
 
 
 🔍Generate Insights &amp; Shape Direction
 
 
 
 <ul>
 <li>
 Translate complex data into actionable recommendations for the Fraud engineering and operations teams.
 </li>
 <li>
 Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance.
 </li>
 <li>
 Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices.
 
 
 </li>
 </ul>
 
 🧪Drive Experimentation &amp; Measurement
 
 
 
 <ul>
 <li>
 Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform.
 </li>
 <li>
 Define and own the experimentation playbook for Fraud at Whatnot.
 </li>
 <li>
 Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing.
 </li>
 <li>
 Ensure Whatnot&rsquo;s internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains.
 
 
 </li>
 </ul>
 
 🛠 Build Data Products &amp; Tools
 
 
 
 <ul>
 <li>
 Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
 </li>
 <li>
 Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product and platform enhancements.
 
 
 </li>
 </ul>
 
 🤝Lead Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Advocate for data-driven decision-making and foster a culture of measurement across the trust &amp; risk organization.
 </li>
 <li>
 Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
 </li>
 <li>
 Bring data support to company-critical investigations to quantify and thwart bad actor tactics, and help generalize outputs to create longer-term protections for different fraud vectors.
 </li>
 <li>
 Serve as a thought leader to Trust &amp; Risk leadership, shaping how we build, launch, and iterate on fraud strategy across the platform.
 
 
 </li>
 </ul>
 
 US Based
 
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 As our next Data Scientist, Risk &amp; Fraud, you bring:
 
 
 
 🎓Experience &amp; Expertise
 
 
 
 <ul>
 <li>
 5+ years of experience in the Data field, and 3+ years of experience in Data Analytics &amp; Science supporting anti-fraud, risk, trust &amp; safety, or integrity problems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Economics, Statistics, Cybersecurity, or a related field, or equivalent work experience.
 </li>
 <li>
 Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
 
 
 </li>
 </ul>
 
 🧠Technical Skills
 
 
 
 <ul>
 <li>
 Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
 </li>
 <li>
 Proficiency with Python or R for data analysis, modeling, and experimentation.
 </li>
 <li>
 Experience designing and analyzing A/B tests and understanding causal inference techniques.
 </li>
 <li>
 Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
 
 
 </li>
 </ul>
 
 🗣️Collaboration &amp; Leadership
 
 
 
 <ul>
 <li>
 Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
 </li>
 <li>
 Experience leading cross-functional projects and influencing trust &amp; risk strategy with data.
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
 
 
 </li>
 </ul>
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary) US based applicants:
 
 $185,000/year to $240,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $185K - $240K
 
 
</div>

Data Scientist, Risk & Fraud

TikTok

<div>
 
 Responsibilities
 
 
 PGC (Professionally Generated Content) is one of TikTok's key business directions. It satisfies users' differentiated consumption demands by providing professional content. The PGC business is divided into several core modules, including creator growth strategies, posts and content management tools, content distribution strategies, creator monetization strategies and OGC verticals.
 
 
 The primary role of a Data Scientist for our Data team is to conduct deep analysis of user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill the growth of TikTok in all different regions.
 
 
 Responsibilities
 
 - Conduct end-to-end data analysis across content and product for the relevant business, uncover supply/demand dynamics, user behaviors and the creator ecosystem, identify growth opportunities, and drive business impact.
 
 - Design and build the core metrics framework and data systems to improve data-driven decision efficiency.
 
 - Partner with Product/Operations/Algorithm/Engineering to improve recommendation and distribution efficiency, optimize user experience, and drive strategy execution.
 
 - Design and analyze A/B tests, and causal inference; evaluate product features, strategies, and trends operations; perform core metric anomaly analysis and root-cause diagnosis.
 
 - Validate hypotheses and identify product growth opportunities through analyses, experiments, or other scientific methods, and influence directions for improvement.
 
 
 
 Qualifications
 
 
 Minimum Qualifications
 
 - Bachelor&rsquo;s degree or above in Data Science, Statistics, Econometrics, Mathematics, Computer Science, or related fields; 3+ years of experience in data analysis/data science.
 
 - Solid foundation in statistics and causal inference; proficient in A/B testing; strong quantitative analysis and impact evaluation skills.
 
 - Proficient in SQL; expert in Python or R; capable of data processing, modeling, and visualization.
 
 - Strong structured thinking and business abstraction; able to quickly understand the sports business and connect business nuances with data.
 
 
 Preferred Qualifications
 
 - Excellent communication, collaboration, and project management skills; able to drive cross-functional execution effectively.
 
 - Experience in overseas market analysis or cross-region collaboration is a plus.
 
 - Strong curiosity and self-drive; resilient; ownership mindset with positive team influence.
 
 - Practical experience in recommend systems/content distribution/growth strategies; experience in sports or content products is a plus.
 
 
 
 About TikTok
 
 
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
 
 
 
 
 TikTok Accommodation
 
 
 TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $129960 - $277970 annually.&ZeroWidthSpace;
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.&ZeroWidthSpace;
 
 Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Scientist - TikTok PGC Sports (Los Angeles)

TikTok USDS Joint Venture

<div>
 
 Responsibilities
 
 
 Team Intro:
 
 The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform.
 
 
 We are seeking a Data Scientist to drive operational maturity and technical innovation within our Payment Risk Operations. This is a hybrid role designed for those who thrive at the intersection of complex data analysis and real world execution. You will lead the data strategy to measure operational impact, partnering closely with Product and Engineering to deploy automated fraud prevention/reduction solutions that never compromise the customer experience.
 
 
 In this role, you will design AI driven tools to automate manual workflows and optimize our defenses. While you will lead high level technical strategy, you are also ready to roll up your sleeves and engage directly with case reviews, as they are the frontline of risk enforcement, we believe our best strategies are built by those who truly understand the data on the ground.
 
 
 Responsibilities:
 
 AI and Workflow Automation
 
 - Work with Product and Engineering teams to design and implement AI solutions to handle the heavy lifting of risk workflows; You will also define the metrics that prove the impact and set up the alarms to alert us if the logic/system fails.
 
 - Spot patterns and catch spikes in customer complaints. You will be the one digging into the "why" behind the tickets so we can give the Strategy and Business teams the feedback they need to pivot quickly.
 
 
 Chargeback and Dispute Strategy
 
 - Design a monitoring framework to track win rate anomalies and use those insights to calibrate both the contestment strategy and the core risk scoring models.
 
 - Develop predictive models to score and prioritize winnable chargebacks, ensuring high value and high probability cases are fast tracked for automated or manual representment.
 
 
 Customer Experience and Sentiment Analysis
 
 - Analyze the "friction vs. fraud" trade-off, measuring how risk interventions (e.g., account freezes, payment option greyouts) impact legitimate user behavior and long-term sentiment.
 
 - Iteratively refine enforcement strategies to minimize false positives and protect the user journey.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 - 3+ years in a data analytics role, specifically within Risk Analytics, Fraud Detection, or Trust and Safety.
 
 - Experience working with real time risk detection and automated enforcement systems.
 
 - Proficiency in Python (Pandas, Scikit-learn, LLM frameworks) and SQL for extracting insights from datasets.
 
 - Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or a related quantitative field.
 
 
 Preferred Qualifications:
 
 - Hands-on experience implementing AI agents or machine learning models to automate operational workflows (e.g., using LLMs for text classification or Vision models for ID verification).
 
 - Experience working in a fast-paced operational environment with a familiarity in managing and interpreting risk operational data; ability to translate complex model outputs into actionable workflows.
 
 
 
 About USDS
 
 
 TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
 
 
 
 
 USDS Reasonable Accommodation
 
 
 USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $136800 - $312867 annually.&ZeroWidthSpace;
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.&ZeroWidthSpace;
 
 Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Scientist, Risk Operations - USDS

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 Launched in 2012, Tinder&reg; revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, &ldquo;It Starts with a Swipe&rdquo;&trade;"
 
 
 
 
 
 
 
 
 
 Our Values
 
 
 
 
 
 
 
 One Team, One Dream
 
 
 
 We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
 
 
 
 
 
 
 Own It
 
 
 
 We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
 
 
 
 
 
 
 Never Stop Learning
 
 
 
 We cultivate a culture where it&rsquo;s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
 
 
 
 
 
 
 Spark Solutions
 
 
 
 We&rsquo;re problem solvers, focusing on how to best move forward when faced with obstacles. We don&rsquo;t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
 
 
 
 
 
 
 Embrace Our Differences
 
 
 
 We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
 
 
 
 
 
 
 The Team
 
 
 
 The Growth Data Science team is looking for curious individuals excited to drive data-informed
 
 
 decision-making at Tinder. We are a strategic partner to the Product team, and will be using our
 
 
 comprehensive datasets to develop experiments, understand metrics, develop automated
 
 
 reports, and generate exploratory insights to guide our business solutions. These insights are
 
 
 key in both the performance of our business and the experience of our members.
 
 
 
 
 
 This role has the opportunity to work on either the User Growth or Growth Platform teams within
 
 
 the Data Science Team. The User Growth team focuses on validating greenspace hypotheses
 
 
 and optimizing the core experience through growth levers and personalization, while the Growth
 
 
 Platform team focuses on optimizing and scaling messaging strategy through strategic channels and personalization. We will work closely with you to define what team would be the best match.
 
 
 
 
 
 
 Where you&rsquo;ll work:
 
 
 
 This position can be located in Los Angeles (preferred), San Francisco, Palo Alto, CA, or Dallas, TX
 
 
 
 
 
 
 
 
 
 In this role, you will:
 
 <li>
 Drive rigorous testing to validate hypotheses and guide business decisions
 </li>
 <li>
 Find the &ldquo;story&rdquo; in the data and readily share insights with product, engineering, and design
 </li>
 <li>
 as well as at a company level
 </li>
 <li>
 Be an authority with a point of view for the organization, using data to constantly challenge
 </li>
 <li>
 and reshape our current understanding of customer behavior and business performance
 </li>
 <li>
 Derive and communicate data-driven recommendations regarding both the prioritization of
 </li>
 <li>
 potential product/marketing initiatives and the performance of current initiatives
 </li>
 <li>
 Define and operationalize the detailed tracking of company-wide, team-specific, and product-
 </li>
 <li>
 specific performance metrics via rollout tables, dashboards, and automated reporting
 </li>
 
 
 
 
 You&rsquo;ll need:
 
 <li>
 Bachelor&rsquo;s degree in a quantitative field, Master&rsquo;s degree, or PhD with a social science background preferred
 </li>
 <li>
 2-4 years of professional working experience in Data Science and/or analytics
 </li>
 <li>
 Familiarity with two sided consumer ecosystem, specifically in the context of consumer technology
 </li>
 <li>
 Experience with SQL, data visualization tools (e.g., Tableau or Mode)
 </li>
 <li>
 Hands on experience in designing and implementing experiments (e.g. randomized testing, A/B testing) to drive key product decisions is required
 </li>
 <li>
 Familiarity with Python/R, using descriptive and inferential statistics and machine learning models
 </li>
 <li>
 Demonstrated ability to collaborate effectively with design, product, and engineering
 </li>
 <li>
 teams to advance key business initiatives from conceptualization to final product delivery
 </li>
 <li>
 Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data
 </li>
 <li>
 Ability to present data, actionable insights, technical concepts and approaches to technical and non-technical audiences
 </li>
 
 
 
 
 Differentiators:
 
 <li>
 Curiosity of how things work, from both a business and technical perspective, which could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and diving deeply into understanding member behavior
 </li>
 <li>
 Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives
 </li>
 <li>
 Ability to prioritize time across multiple projects and communicate timelines
 </li>
 
 
 
 
 As a full-time employee, you&rsquo;ll enjoy:
 
 <li>
 Unlimited PTO (with no waiting period), 10 annual Wellness Days
 </li>
 <li>
 Time off to volunteer and charitable donations matching&nbsp;
 </li>
 <li>
 Comprehensive health, vision, and dental coverage
 </li>
 <li>
 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
 </li>
 <li>
 Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
 </li>
 <li>
 Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
 </li>
 <li>
 Free premium subscriptions for several Match Group apps &ndash; including Tinder Platinum!
 </li>
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;https://www.lifeattinder.com/dei
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
</div>

Data Scientist II, Growth

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
 
 
 
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
 <li>
 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
 <li>
 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Data Scientist Intern

<div>
 
 Company Information
 
 
 
 For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
 
 
 Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.
 
 
 If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!
 
 
 
 Job Summary
 
 
 
 The AEG Presents Strategy Group partners with the executive team and leaders across the company, to address critical challenges and develop and execute strategies that drive business improvement. The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data scientist, across all strategic and operational areas of the AEG Presents business, with a focus on quantitative/statistical modeling and business performance analysis.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to improve performance across all AEG Presents business lines, by gathering, cleansing, and analyzing data from multiple defined and undefined data sources using data extraction and analysis tools (SQL, Excel, PowerBI), and using statistical/programming tools (Python, R) to design and execute advanced analytics (regression, clustering, time series, etc.).
 </li>
 <li>
 Lead implementation of statistical data models into proprietary custom-built software platforms for use in AEG Presents business operations, working collaboratively with the digital team and other business stakeholders by defining requirements and developing underlying data structures.
 </li>
 <li>
 Design and execute financial and operational analysis by leveraging in-house and 3rd party operational, transactional, and financial data, and use visualization tools to develop business performance reports for AEG Presents management across multiple departments (e.g., festivals, venues, touring).
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 BA/BS Degree (4-year)
 </li>
 <li>
 0-2 years Of related work experience
 </li>
 <li>
 Strong quantitative analytical skills, with the ability to derive insights from large data sets, exceptional attention to detail, and a desire to creatively solve challenging problems
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present findings from technical analysis to non-technical audiences
 </li>
 <li>
 General business acumen, with the ability to analyze the live events industry and recommend business improvements
 </li>
 <li>
 Ability to learn quickly and manage projects independently
 </li>
 <li>
 Proficiency in data science programming languages (Python and/or R)
 </li>
 <li>
 Proficiency in SQL, experience with data visualization tools (e.g., Tableau, PowerBI)
 </li>
 <li>
 Music or other entertainment experience a plus, as well as a passion for music and knowledge of artists and industry trends preferred
 </li>
 <li>
 Familiarity with basic financial statements (profit and loss, balance sheet) preferred
 
 
 
 </li>
 </ul>
 
 Payscale:
 
 $82,924-$89,250
 
 
 
 Bonus:
 
 
 This position is not eligible for a bonus under the current bonus plan requirements.
 
 
 
 
 Benefits:
 
 
 
 Full-time:
 
 We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.
 
 
 
 AEG reserves the right to change or modify the employee&rsquo;s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.
 
 
 AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.
 
 
 Employer does not offer work visa sponsorship for this position.
</div>

Data Analyst

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