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Upstream Data Scientist Jobs (NOW HIRING)

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of ... Build models that directly inform acquisition spend and channel optimization, connecting upstream ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

... upstream - Communicate findings clearly and accurately to both technical and non-technical ... Our team is comprised of Data Engineers, Business Intelligence Engineers, Data Scientists, and ...

Socket.dev

Data Scientist, Fire TV

Sunnyvale, CA · On-site

$150 - $200/hr

... upstream * Communicate findings clearly and accurately to both technical and non-technical ... Mentor junior data scientists and analysts on methodology, tool usage, and analytical approach ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

This role is appropriate for a scientist who can independently own data science workstreams ... upstream - Communicate findings clearly and accurately to both technical and non-technical ...

Aircall.io, Inc.

Data Scientist, Visualization

New York, NY · On-site +1

$140K - $180K/yr

About the role As a Data Scientist specializing in visualization engineering, you will own the ... Work closely with data engineers to continuously improve the data stack, pushing fixes upstream ...

Baker Group

Data Engineer

Ankeny, IA · On-site

$108K - $130K/yr

Partners with business system owners (ERP, HRIS, MRP, etc.) to understand upstream data structures and manage change impacts. * Collaborates with the Data Scientist to ensure pipeline outputs support ...

Eliassen Group

Data Scientist III

Charlotte, NC · On-site

$70 - $80/hr

Partner with upstream data provider teams to consume cleansed and prepared data. Experience Requirements: * 5 to 10 years of experience in data science with strong time series forecasting background.

Snowflake

Staff Data Scientist, Finance

Menlo Park, CA · On-site

$184K - $264K/yr

Staff Data Scientist, Finance About the Team The Finance Data Science team builds the forecasting ... It is about creating reliable, explainable, production-grade decision systems that connect upstream ...

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Upstream Data Scientist information

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How much do upstream data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for upstream 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.

Is an upstream data scientist job still in demand?

Upstream data scientist roles remain in demand due to the ongoing need for data analysis and modeling in industries like oil and gas, where expertise in data management, statistical tools, and programming languages such as Python or R is valuable. These positions often require strong analytical skills and knowledge of industry-specific data environments, making them relevant in current job markets.

What are popular job titles related to Upstream Data Scientist jobs?

For Upstream Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Upstream Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

San Francisco, CA • On-site

Triumph
See more jobs at Triumphexternal

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago

Key responsibilities

  • Own and develop the mathematical systems that drive pricing, payout, matchmaking, risk, and player behavior models.

  • Build models to analyze user lifecycle, retention, monetization, and identify quantitative levers to improve these metrics.

  • Design and analyze experiments, and develop behavioral models using high-frequency user 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.

Compensation Range: $200K - $400K