Logo for Sleeper

Data Scientist- Platform Integrity

Roles & Responsibilities

  • 4+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • Advanced degree in computer science, statistics, or a related field
  • Proficiency in scripting languages (Python, R, or similar) and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • Experience building or working with event-based analytics systems

Requirements:

  • Collaborate with product leaders to optimize onboarding funnel and identify friction points to improve user experience
  • Build scalable analytics systems for continuous evaluation of user journeys and define key metrics, including implementing real-time event tracking with engineering (Firebase, Amplitude, etc.)
  • Develop risk and integrity insights by building frameworks to detect fraud, balance user friction with platform integrity, and quantify fraudulent activity; partner with operations to triage threats
  • Apply advanced analytics (classification, clustering, anomaly detection) on large-scale behavioral data and continuously evaluate and iterate systems in response to market trends

Job description

About Sleeper

Sleeper is a sports-focused games platform with messaging at its core. We are a young and energetic company, fueled by a passion for sports and a drive for innovation. Our mission is to create a digital playground for sports fans and their friends to hang out. We bring people together over sports.

About the Role

At Sleeper, we’re building the most engaging and trusted fantasy sports experience in the world, This role sits right at the intersection of growth, product, and platform integrity. As a Data Scientist focused on Risk and User Experience, you’ll shape how millions of users onboard, interact, and transact on our platform.

You’ll go beyond dashboards, designing the systems that help us understand player behavior in real time, detect fraud before it happens, and create seamless experiences that don’t get in the user’s way. From instrumenting event-level data to building models that identify suspicious activity, your work will directly influence how we scale safely and intelligently.

This is a highly cross-functional role where you’ll partner closely with product, engineering, and operations to turn data into action. You’ll help define what “good” looks like across the user journey, build the infrastructure to measure it, and continuously refine our systems as the landscape evolves.

If you’re excited about solving complex, high-impact problems in a fast-moving environment, this is your chance to build from the ground up and make a meaningful impact on a rapidly growing gaming platform.

What You’ll Do

  • Driving Growth and User Experience

    • Collaborate with product leaders to optimize our onboarding funnel to identify friction and areas for improvement

    • Build scalable analytics systems for continuous evaluation of user journeys and defining key metrics

  • Building Data Foundation

    • Partner with engineering to implement real-time event tracking (Firebase, Amplitude etc)

    • Define schemas and instrumentation for user activity (account creation, sessions, device/IP data etc)

  • Develop Risk/Integrity Insights

    • Collaborate on systems that balance user friction with platform integrity

    • Build analytical frameworks to surface signals that inform adaptive user flows (dynamic verification requirements etc)

    • Establish prevalence measurement methodologies to quantify fraudulent activities on the platform

    • Partner with our operations teams to triage and mitigate any ongoing threats to the platform

  • Advanced Analytics

    • Classify transaction risk (payment method, account-level signals)

    • Apply clustering, anomaly detection etc to large scale behavioral data

    • Continuously evaluate implemented systems and iterate based on shifting market trends

Must-Have Qualifications

  • 4+ years of industry experience in data science, economics, analytics, or machine learning engineering

  • Advanced Degree in computer science, statistics, or a related field

  • Proficiency in scripting languages (Python, R, or similar) and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow

  • Experience building or working with event-based analytics systems

  • Familiarity with machine learning methods for classification, clustering, or anomaly detection

  • Ability to work cross-functionally with engineering and product

Nice-to-Have Experience

  • Experience working in Fraud/Risk/Trust & Safety teams

  • Experience developing internal tooling for analytics, operations, or user lifecycle workflows (e.g., onboarding, review systems, or risk signals), using platforms like Retool, Appsmith, or comparable frameworks

  • Experience working in real money gaming or other high-velocity transaction environments.

  • Comfortable writing light JavaScript in data/UI workflows

Benefits

  • Competitive salary, equity

  • Comprehensive medical, dental, and vision insurance

  • 401(k)

  • Flexible working hours and remote work options

  • Opportunities for career advancement

  • Unlimited PTO

What We Offer

Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role.

Competitive salary range of $130,000 to $175,000, plus benefits including Medical, Dental, PTO, 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability.


You may request reasonable accommodations by sending an email to jobs@sleeper.app.

Data Scientist Related jobs

Other jobs at Sleeper

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.