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Weekend Fintech Data Scientist Jobs (NOW HIRING)

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Flex

Staff Data Scientist, New Verticals

New York, NY · On-site

... data science/analyst work * Strong SQL and hands-on experience with dbt and Snowflake (or ... Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their ...

Rock Connections

Data Scientist

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, realestateand more.We'reinsistently different in how we look at the world and are ...

Cypress HCM

Credit Strategy Data Scientist

CA · Remote

$50 - $53.33/hr

Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. * Bachelors degree in computer science, Engineering, Mathematics ...

Moniepoint Group

NY · On-site

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech ... About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud ...

Democrance

NY · On-site

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech ... About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud ...

Info Way Solutions

Data scientist With AI

Reston, VA · On-site

Info Way Solutions is seeking a highly skilled Data Scientist with expertise in Artificial ... fintech, or e-commerce. Company : Founded and incorporated in 2012 , Info Way Solutions is an ...

FloatMe

Senior/Staff Data Scientist

Austin, TX · On-site

... moving fintech team, this is the seat for you. What You'll Do * You will turn complex product ... to align Data Science work with broader strategy Who You Are * 4+ years applying AI, machine ...

FloatMe

Senior/Staff Data Scientist

San Antonio, TX · On-site

... moving fintech team, this is the seat for you. What You'll Do * You will turn complex product ... to align Data Science work with broader strategy Who You Are * 4+ years applying AI, machine ...

Stash

Senior Data Scientist

New York, NY · On-site

Experience: 5+ years in data science or advanced analytics roles, ideally in consumer tech, fintech, or growth/product analytics. Prior Senior ownership of ambiguous, multi-quarter problems.

Clair

Senior Applied Data Scientist

New York, NY · On-site

$190K - $200K/yr

We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence.

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As of Sep 14, 2026, the average yearly pay for weekend fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Weekend Fintech Data Scientist jobs near you
Infographic showing various Weekend Fintech Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

San Francisco, CA • On-site

Triumph Arcade, Inc
See more jobs at Triumph Arcade, Incexternal

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago

Key responsibilities

  • Develop and optimize models and systems related to pricing, payout, matchmaking, risk, and player behavior to support business decisions and drive revenue.

  • Build models that analyze the full player lifecycle, including acquisition, activation, engagement, monetization, and churn risk, to inform retention and lifetime value strategies.

  • Design and analyze experiments, including A/B tests, and develop models based on high-frequency user behavior data to inform product decisions and real-time systems.

Job description

The Role
As a Data Scientist, you'll own the quantitative systems that drive how millions of players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.
You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches money and real users. You see the impact in the numbers the next day.
What You'll Do
  • Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.
  • User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them.
  • Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.
  • Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.
  • Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.
  • Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
Qualifications
  • Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.
  • True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline.
  • Proficiency in Python and SQL.
  • Experience working with large-scale user or behavioral datasets.
Preferred Qualifications
  • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.
  • Prior experience as a quantitative trader or quantitative researcher.
  • Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.
  • Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.
Why Triumph?
  • High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.
  • High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.
  • High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
  • Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.

Our team gathers 5 days a week at Triumph's headquarters at Levi's Plaza in San Francisco.

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