applied data scientist, evaluation & model behavior

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

data scientist

University of California - San Francisco

<div><p>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.</p></div>

Data Scientist

Triumph

<div><h1 class="jobSectionHeader"><b>About Us</b></h1><p>
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.</p><p>
Triumph is backed by some of the top consumer VCs including Goodwater Capital, General Catalyst, and DraftKings Drive Fund.</p><h1 class="jobSectionHeader"><b>
The Role</b></h1><p>
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.</p><p>
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.</p><h1 class="jobSectionHeader"><b>
What You'll Do</b></h1><ul><li><p><b>
Monetization &amp; Pricing</b>: 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.</p></li><li><p><b>
User Journey &amp; Retention</b>: 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.</p></li><li><p><b>
Experimentation</b>: 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.</p></li><li><p><b>
Behavioral Modeling</b>: 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.</p></li><li><p><b>
Growth &amp; Acquisition</b>: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.</p></li><li><p><b>
Cross-Functional Impact</b>: 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.</p></li></ul><h1 class="jobSectionHeader"><b>
Qualifications</b></h1><ul><li><p>
Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.</p></li><li><p>
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.</p></li><li><p>
Proficiency in Python and SQL.</p></li><li><p>
Experience working with large-scale user or behavioral datasets.</p></li></ul><h1 class="jobSectionHeader"><b>
Preferred Qualifications</b></h1><ul><li><p>
Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.</p></li><li><p>
Prior experience as a quantitative trader or quantitative researcher.</p></li><li><p>
Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.</p></li><li><p>
Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.</p></li></ul><h1 class="jobSectionHeader"><b>
Why Triumph?</b></h1><ul><li><p>
High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.</p></li><li><p>
High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.</p></li><li><p>
High energy. Passionate team who are proud of our work and velocity (16x year over year growth).</p></li><li><p>
Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.</p></li></ul><p>
Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.</p><p>
Compensation Range: $160K - $265K</p></div>

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You Have
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You could be an especially great fit if you have:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $230K - $385K
</div>


Data Scientist, Product

Genentech

<div><div><div>THE POSITION</div><p><b>
Job Summary</b></p><p>
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.</p><p></p><p><b>
Key Job Responsibilities</b></p><p></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</p></li><li><p>
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.</p></li><li><p>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</p></li><li><p>
Apply data science and other advanced analytical methodologies,<i> </i>using multiple data sources and tools.</p></li><li><p>
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.</p></li><li><p>
Communicate findings effectively to both technical and non-technical audiences.</p></li></ul><p><b><i><br>
Who You Are</i></b></p><ul><li><p>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>
5 years of experience in data science or related roles.</p></li><li><p>
Proficiency in programming languages such as Python, R.</p></li><li><p>
Knowledge of SQL for database management.</p></li><li><p>
Strong expertise in Machine Learning and Deep Learning techniques</p></li><li><p>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</p></li><li><p>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Experience working with large and complex data sets in collaboration with business and analytics teams.</p></li><li><p>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</p></li><li><p>
Contributions to open source projects or publications in data science.</p></li><li><p>
Experience in healthcare, pharmaceutical, or highly regulated industries.</p></li><li><p>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</p></li><li><p>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</p></li><li><p>
Proficiency with industry-standard programming languages such as Python.</p></li><li><p>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</p></li><li><p>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</p></li><li><p>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</p></li><li><p>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</p></li></ul><p><b>
Location</b></p><ul><li><p>
This position is based in South San Francisco, CA at our Genentech Campus</p></li><li><p>
Relocation benefits are NOT available for this posting</p></li></ul><p></p><p>
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.</p><p>
 Benefits</p><p></p><p>
#LI-CM4</p><p></p><p>
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.</p><p></p><p>
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.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Computational Biology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 2nd 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108637</p></div></ul></div></div></div></div><p></p>

Senior Data Scientist

SoFi

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p><b>
The Role</b><br>
The Risk Data Science team is seeking a strategic and technically deep Machine Learning Engineer to lead the evolution of SoFi's Home Loan and Home Equity risk frameworks. This role is at the center of a high-priority initiative to deliver a comprehensive, loan-level credit risk and valuation framework for our home lending portfolios.</p>
<p>
As a key technical leader, you will apply state-of-the-art ML methodologies to solve complex problems&mdash;including default and prepayment modeling, property valuation (AVMs), and credit risk assessment&mdash;ensuring our high-value secured loan products are backed by world-class data science.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Lead the design and implementation of ML models for mortgage-specific use cases, including credit underwriting, debt-to-income (DTI) validation, and automated appraisal reviews.</li>
<li>Provide technical oversight and end-to-end ownership of externally developed models, ensuring they meet rigorous internal standards for quality, performance, and scalability.</li>
<li>Present model performance and portfolio insights to senior leadership, translating complex data into actionable credit and business strategies.</li>
<li>Collaborate with Model Risk Management (MRM) and governance teams to ensure all models are developed with the technical rigor required to satisfy complex regulatory and compliance standards.</li>
<li>Partner with Product and Engineering teams to operationalize models, overseeing deployment, real-time monitoring, and seamless integration into core business systems.</li>
<li>Continuously explore and leverage in-house, external, and open-source ML frameworks to build the next generation of proprietary mortgage risk tools.</li></ul><br>
<p></p>
<p><b>
What You'll Need</b></p>
<ul>
<li>Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a quantitative field required. Ph.D. preferred.</li>
<li>5+ years of direct experience with building, implementing, and deploying machine learning models within Home Loans or Home Equity lending environments.</li>
<li>Expert knowledge of statistical modeling and ML methods, including linear/logistic regression, ensemble methods (XGBoost/LightGBM), clustering, and outlier detection.</li>
<li>Strong programming skills in Python and SQL.</li>
<li>Hands-on experience with ML model implementation in production environments using tools such as AWS SageMaker, Git, Docker, and CI/CD pipelines.</li>
<li>Strong ability to distill complex technical methodologies into simple, persuasive terms for non-technical stakeholders.</li></ul><br>
<p></p>
<p><b>
Nice To Have</b></p>
<ul>
<li>Proven track record in technical model documentation and navigating the Model Risk Management lifecycle.</li>
<li>Experience working in a cross-functional capacity across Product, Engineering, and Risk departments.</li>
</ul><div><div><b>Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Staff Data Scientist

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our B2B product organization is building the systems that will accelerate and automate how companies operate using AI coworkers.Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organizations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the center of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.
 <br/>
 <br/>
 This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organizations adopt them, and how we measure their impact on work.
 <br/>
 <br/>
 You&rsquo;ll analyze how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with product, engineering, and research teams to shape AI-powered enterprise products
  </li>
  <li>
   Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption
  </li>
  <li>
   Analyze how organizations use AI tools and identify opportunities to improve product experience and business impact
  </li>
  <li>
   Drive insights around enterprise adoption, retention, and value realization
  </li>
  <li>
   Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools
  </li>
  <li>
   Design experiments and evaluations that improve AI system performance and user outcomes
  </li>
  <li>
   Help define how companies operate with AI coworkers and automated workflows
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Must Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong product analytics or data science experience
  </li>
  <li>
   Deep curiosity about AI systems and how they change how work gets done
  </li>
  <li>
   Ability to work closely with product and engineering teams in 0&rarr;1 product environments
  </li>
  <li>
   Strong analytical skills (experimentation, behavioral analysis, product metrics)
  </li>
  <li>
   Builder mindset &mdash; someone who wants to shape products, not just analyze them
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with B2B SaaS or enterprise analytics
  </li>
  <li>
   Experience with developer platforms, APIs, or technical products
  </li>
  <li>
   Background in AI/ML systems, agent frameworks, or LLM-based products
  </li>
  <li>
   Systems thinking around how complex tools and workflows operate at scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who Thrives Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI-native &mdash; actively experimenting with and building with AI tools
  </li>
  <li>
   Product thinkers who want to shape the future of work
  </li>
  <li>
   Builders who enjoy early-stage ambiguity and 0&rarr;1 problems
  </li>
  <li>
   Operators who can work independently and drive large parts of a product area
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Impact
  <br/>
  <br/>
 </strong>
 <strong>
  You Will Help Define
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   How organizations deploy and manage AI agents
  </li>
  <li>
   How AI transforms enterprise productivity
  </li>
  <li>
   The measurement systems behind AI-native companies
  </li>
  <li>
   This is an opportunity to help create the &ldquo;Codex moment&rdquo; for non-coding work &mdash; defining how businesses operate in an AI-first world.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $293K - $515K
</div>


Data Scientist, B2B

Lyft

<div><p>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.</p>
<p>
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.</p>
<p>
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.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></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"><b>Experience:</b></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><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Benefits:</b><br>
</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>
<p>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.</p>
<p>
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</p>
<p>
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.</p></div>

Senior Data Scientist, Decisions - Risk

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