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On Call Behavioral Data Scientist Jobs (NOW HIRING)

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 real ... Behavioral Modeling : Develop ML and statistical models on rich, high-frequency user behavior data ...

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 real ... Behavioral Modeling : Develop ML and statistical models on rich, high-frequency user behavior data ...

Data Scientist

Manhattan, NY · Remote

$150K - $170K/yr

... behavior, data quality, and performance anomalies to ensure the ongoing quality and impact of ... As a Data Scientist, you will play a pivotal role in developing our software products, specifically ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this ... Conduct deep statistical analysis of customer behavior data and advertising performance metrics ...

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this ... Conduct deep statistical analysis of customer behavior data and advertising performance metrics ...

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this ... Conduct deep statistical analysis of customer behavior data and advertising performance metrics ...

... behavior. You'll contribute to data science systems across multiple SaaS products with end-to-end ... influence, emphasizing applied problem solving, data investigation, and system improvement. If you ...

... behavior. You'll contribute to data science systems across multiple SaaS products with end-to-end ... influence, emphasizing applied problem solving, data investigation, and system improvement. If you ...

Conduct exploratory and confirmatory analyses on large-scale behavioral datasets to identify ... Experience in data science, applied analytics, or a related quantitative field working on consumer ...

Establish trust and confidence as the data scientist, up, across, and down the organization ... Exposure to web behavioral data and customer lifecycle modeling (churn, propensity, LTV) Additional ...

Data Scientist

$135K - $145K/yr

TL;DR Fast-growing ad-measurement company looking for an individual to work with our data science ... Support client management teams with data-driven insights based on millions of behavioral data ...

... to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs ... Required : • 3+ years of hands-on Data Science experience. A formal degree is not required if you ...

Establish trust and confidence as the data scientist, up, across, and down the organization ... Exposure to web behavioral data and customer lifecycle modeling (churn, propensity, LTV) Additional ...

Establish trust and confidence as the data scientist, up, across, and down the organization ... Exposure to web behavioral data and customer lifecycle modeling (churn, propensity, LTV) Additional ...

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On Call Behavioral Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do on call behavioral data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for on call behavioral 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.
What are the most commonly searched types of Behavioral Data Scientist jobs? The most popular types of Behavioral Data Scientist jobs are:
Data Scientist

Data Scientist

Triumph

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

The Role

As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money 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 real 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