applied data scientist, evaluation & model behavior

data engineer

data analyst

data engineer - finance Jobs in San Francisco

data engineer - finance

data scientist

applied data scientist, evaluation & model behavior Jobs in San Francisco

senior data scientist

Genentech

<div><div><div>THE POSITION</div>
Job Summary
The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Acting as a strategic thought partner, the role involves shaping impactful business priorities, collaborating cross-functionally, and delivering actionable insights. The position requires a strong execution mindset, commitment to data quality and governance, and the ability to communicate complex findings to different audiences&mdash;all while staying at the forefront of AI innovation and aligning with Genentech&rsquo;s standards and compliance.
Key Job Responsibilities<ul><li>
Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques (e.g., classification, regression, and forecasting) to generate value from structured and unstructured data for Commercial and Medical organizations.</li><li>
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.</li><li>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</li><li>
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. Collaborate within cross‑functional teams to develop efficient Machine Learning‑based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision‑making.</li><li>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</li><li>
Apply data science and other advanced analytical methodologies, using multiple data sources and tools.</li><li>
Collaborate with data science product owners/managers, data leads, ML Engineers, and MLOps team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.</li><li>
Communicate findings effectively to both technical and non-technical audiences.</li></ul> 
Who You Are<ul><li>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</li><li>
5 years of experience in data science or related roles.</li><li>
Proficiency in programming languages such as Python, R.</li><li>
Knowledge of SQL for database management.</li><li>
Strong expertise in Machine Learning and Deep Learning techniques</li><li>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</li><li>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</li></ul> 
Preferred Qualifications<ul><li>
Experience working with large and complex data sets in collaboration with business and analytics teams.</li><li>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Contributions to open source projects or publications in data science.</li><li>
Experience in healthcare, pharmaceutical, or highly regulated industries.</li><li>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</li><li>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</li><li>
Proficiency with industry-standard programming languages such as Python.</li><li>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</li><li>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</li><li>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</li><li>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</li></ul>
Location<ul><li>
This position is based in South San Francisco, CA at our Genentech Campus</li><li>
Relocation benefits are NOT available for this posting</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200/yr to $343,900/yr. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
 Benefits
#LI-CM4
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202604-108637</div></ul></div></div></div></div>

Senior Data Scientist

Adobe

The Opportunity
 We are hiring a dynamic, detail-minded Data Scientist to support the Creators segment on Adobe.com. Creators are a key growth area for Adobe, and this role will help shape how web performance drives meaningful business outcomes.
 
Our ideal candidate brings an outstanding blend of analytics, technical depth, and storytelling ability — someone who translates complex data into actionable insights for cross-functional partners. This individual is equally comfortable presenting executive-ready narratives as they are diving deep into clickstream and experimentation data, connecting multiple data sources, and building scalable reporting solutions that help teams move faster and make better decisions.
 
In this role, you will drive performance insight throughout user acquisition, engagement, experimentation, and conversion. You will analyze customer journeys end-to-end, uncover friction and growth opportunities, and support site optimization initiatives through rigorous experimentation analysis and behavioral diagnostics.
 
What You’ll Do
 Lead Web Performance analytics for the Creators business on Adobe.com.
 Deliver a clear, end-to-end view of performance across the customer journey and identify behavioral patterns, friction points, and opportunities to improve engagement and conversion.
 Identify trends, risks, and growth opportunities through structured analysis.
 Conduct hands-on analysis using Adobe Analytics and SQL to generate actionable insights.
 Apply statistical thinking when conducting and interpreting A/B test results to inform optimization decisions.
 Partner with Product teams to strengthen experimentation strategy and measurement.
 Build and refine key performance indicators, dashboards, and scalable reporting solutions that empower teams.
 Present findings in a clear and compelling way that drives action.
 Collaborate with Finance, Product Analytics, Engineering, and cross-functional partners to incorporate broader business context.
 Facilitate weekly prioritization discussions and support focused, transparent decision-making.
 
What You Need to Succeed
 Education
 A BS degree in Computer Science, Statistics, Engineering, Business, or a related field, or equivalent experience, is required.
 Experience
 6–8+ years of experience in web analytics, experimentation, data science, or related data roles.
 Experience with Adobe Analytics or similar web analytics platforms.
 Experience conducting hands-on analysis of A/B test data, including validating statistical significance and translating results into optimization recommendations.
 Proficiency in SQL and experience working with clickstream data.
 Experience leading analytics projects from scoping through delivery.
 Experience working across cross-functional teams.
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $163,200 - $236,400
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Lyft

<div>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.

As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You'll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.</li>
<li>Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action</li>
<li>Construct and fit statistical, machine learning, or optimization models</li>
<li>Design and analyze online experiments; communicate results and act on launch decisions</li>
<li>Develop analytical frameworks to monitor business and product performance</li>
<li>Establish metrics that measure the health of our products, the business, as well as the driver experience</li>
<li>Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.</li>
</ul><h2 class="jobSectionHeader">Experience:</h2>
<ul><li>Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience</li>
<li>5+ years of industry experience in a data science, analytics, or management consulting role.
</li><li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li>
<li>Ability to manage, influence, negotiate, and inspire others in a fast-moving environment</li>
<li>Proficiency in SQL and Python</li>
<li>Experience with insurance claims analytics a plus</li>
<li>Strong oral and written communication skills, and ability to collaborate with cross-functional partners</li></ul> 

<h2 class="jobSectionHeader">
Benefits: 
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</div>

Senior Data Scientist, Decisions - Risk

University of California - San Francisco

<div>Zuckerberg San Francisco General Hospital and the Division of Cardiology is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We currently have a successful and growing ML predictive analytics team consisting of ML researchers, clinicians, informaticists, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position requires experience in computer science, (bio)statistics, or another relevant field. A proven track record of productivity within academia or industry in publishing and/or developing and applying new algorithms is necessary for this role. The candidate should have experience developing in a Linux environment, using git-based workflows, writing in Python/R, using high-performance computing, and working collaboratively with a multidisclinary team. Ideally, the candidate also has experience cleaning and analyzing Electronic Health Record (EHR) data, creating datawarehouses for data analytics, and experience/interest in developing new ML algorithms including large language models.</div>

Data Scientist

OpenAI

<div>
 
 About The Team
 
 
 
 Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all.
 
 
 
 About The Role
 
 
 
 As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike.
 
 
 You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team.
 
 
 This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth
 </li>
 <li>
 Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product
 </li>
 <li>
 Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics
 </li>
 <li>
 Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You Have
 
 
 
 <ul>
 <li>
 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org
 </li>
 <li>
 Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python
 </li>
 <li>
 Defined, implemented, and operationalized new feature and product-level metrics from scratch
 </li>
 <li>
 Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
 </li>
 <li>
 Strategic insights beyond the paradigm of statistical significance testing
 
 
 </li>
 </ul>
 
 You could be an especially great fit if you have:
 
 
 
 <ul>
 <li>
 Strong programming background, with ability to run simulations and prototype variants
 </li>
 <li>
 Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)
 </li>
 <li>
 Demonstrated prior experience in NLP, large language models, or generative AI
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Data Scientist, Product

Scale AI

<div>At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.

This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.
<h3 class="jobSectionHeader">
What you'll do</h3>
<ul><li>Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria</li>
<li>Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans</li>
<li>Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems</li>
<li>Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration</li>
<li>Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations</li>
<li>Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement</li>
<li>Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline</li>
<li>Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production</li>
<li>Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role</li>
<li>Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact</li>
<li>Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans</li>
<li>Strong foundation in statistics, experimentation, causal reasoning, and measurement</li>
<li>Experience building tools or products, not just analyses &mdash; for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications</li>
<li>Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work</li>
<li>Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly</li>
<li>Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives</li>
<li>High ownership and bias toward shipping in fast-moving environments with incomplete information</li>
</ul><h3 class="jobSectionHeader">Preferred qualifications</h3>
<ul><li>Experience in a forward deployed, solutions, consulting, or other client-facing technical role</li>
<li>Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products</li>
<li>Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow</li>
<li>Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery</li>
<li>Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems</li>
<li>Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling</li>
<li>Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</li>
</ul><h3 class="jobSectionHeader">What success looks like</h3>

Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.<div>
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.</div></div>

Senior Forward Deployed Data Scientist/Engineer

Triumph

<div><h1 class="jobSectionHeader">About Us</h1>
Triumph makes mobile gaming more thrilling by letting players wager - and win - real money, play in mass multiplayer games, and compete in social tournaments. We've built the top app in our App Store category and sustained exponential month-over-month growth on our revenue and active players. We're hyper-scaling our team and continuing to innovate, launching new products like Rips, our collectibles app, which has found huge success and is continuing to expand. And we're just getting started.
Triumph is backed by some of the top consumer VCs including Goodwater Capital, General Catalyst, and DraftKings Drive Fund.<h1 class="jobSectionHeader">
The Role</h1>
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.<h1 class="jobSectionHeader">
What You'll Do</h1><ul><li>
Monetization &amp; 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.</li><li>
User Journey &amp; 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.</li><li>
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.</li><li>
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.</li><li>
Growth &amp; Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.</li><li>
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.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.</li><li>
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.</li><li>
Proficiency in Python and SQL.</li><li>
Experience working with large-scale user or behavioral datasets.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.</li><li>
Prior experience as a quantitative trader or quantitative researcher.</li><li>
Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.</li><li>
Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.</li></ul><h1 class="jobSectionHeader">
Why Triumph?</h1><ul><li>
High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.</li><li>
High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.</li><li>
High energy. Passionate team who are proud of our work and velocity (16x year over year growth).</li><li>
Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.</li></ul>
Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.
Compensation Range: $160K - $265K</div>

Explore 347+ Senior data scientist in San Francisco this April. Find roles across top companies and apply now to boost your career.

347 senior data scientist jobs In San Francisco

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