actuarial data scientist iii Jobs in San Francisco

actuarial data scientist iii

data scientist, unit econ Jobs in San Francisco

data scientist, unit econ

senior data scientist Jobs in San Francisco

senior data scientist

data scientist

tubi

<div><div><h4 class="jobSectionHeader">About Tubi:</h4>

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.</div>
About the Role:

Tubi is transforming the future of television with a vast library of free, premium content supported by advertising. We're seeking a curious, strategic, and technically strong Senior Data Scientist to join our growing Data Science team&mdash;specifically supporting our Content function. In this high-impact role, you'll help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data.

As a Senior Data Scientist at Tubi, you'll lead end-to-end analytical projects that shape what our viewers see and how they experience our platform. You'll work at the intersection of content strategy, product, marketing, and monetization, bringing a rigorous experimentation mindset and technical expertise to our most critical initiatives. Your work will be crucial in expanding our audience, optimizing our content library, and developing data-driven frameworks that scale with the business.

You'll collaborate cross-functionally with content strategy, data engineering, product managers, and executives&mdash;ensuring that data and experimentation are deeply embedded in how we choose, evaluate, and present content. This is an exciting opportunity for someone passionate about streaming, thrives in ambiguity, and wants to influence the future of TV through data.

What You'll Do:
<ul>
<li>Design, execute, and analyze A/B tests and quasi-experiments that inform content acquisition, placement, and personalization strategies.</li>
<li>Apply statistical rigor and causal inference methods to evaluate content performance and viewer engagement at scale.</li>
<li>Work with large, complex datasets using SQL, Python, and Spark to uncover actionable insights that drive strategic content decisions.</li>
<li>Develop and maintain dashboards, data products, and visualizations that translate data into clear business recommendations.</li>
<li>Partner closely with cross-functional stakeholders to influence decisions with thoughtful, transparent, and evidence-based insights.</li>
<li>Collaborate with Data Engineering and ML Ops to improve data pipelines, feature engineering, and automation across experimentation workflows.</li>
<li>Serve as a thought partner across teams, advocating for best practices in experimentation, measurement, and data strategy.</li>
</ul>
Your Background:
<ul>
<li>8+ years of experience in a data science, analytics, or quantitative research role, ideally in a consumer technology or media company.</li>
<li>Advanced proficiency in SQL, Python, and Spark, with hands-on experience managing and analyzing large-scale, event-level data.</li>
<li>Deep understanding of A/B testing, experimental design, and causal inference methodologies.</li>
<li>Proven ability to translate data into compelling stories and recommendations for non-technical audiences.</li>
<li>Experience with product analytics, content performance measurement, or personalization systems is a plus.</li>
<li>Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related field.</li>
<li>Experience in video streaming, entertainment, or ad-supported media is highly preferred.</li>
</ul>
#LI-SL4

#LI-Hybrid<div>

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:
<ul>
<li>For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.</li>
<li>For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.</li>
<li>For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.</li>
<li>For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.</li>
</ul>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</div></div>

Senior Data Scientist

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.<div><h1 class="jobSectionHeader">
Actuarial Data Scientist III- InsurTech Team</h1>
Introduction to the Team:
We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of FinTech products to join our EG InsurTech team. In this role, you will be a pivotal contributor in supporting the growth and development of FinTech and insurance products. Your role will be highly analytical, with a primary focus on leveraging data to enhance our product offerings. You will have the opportunity to influence Expedia's financial outcomes and collaborate with senior leadership.</div><div>
In this Role, You Will:
</div><div><ul><li>Play a key role in data-driven product development for FinTech products, including travel insurance</li><li>
Apply actuarial principles to evaluate and enhance insurance product offerings and pricing strategies</li><li>
Conduct valuation of insurance products and assess associated liabilities</li><li>
Manage and optimize our claims fund, collaborating as needed with external actuaries from partner insurance organizations</li><li>
Provide actuarial insights and guidance throughout the product life cycle to ensure competitive pricing and efficient claims management</li><li>
Design end-to-end actuarial processes to support the development and pricing of scalable InsurTech products with a focus on FinTech</li><li>
Ensure compliance with relevant legal and accounting requirements, which may encompass both US and international standards</li><li>
Analyze data and build predictive models using tools such as Python and R to support product development</li><li>
Collaborate effectively with the broader product team within a coding environment while adhering to model development and maintenance best practices</li></ul></div><div>
Minimum Qualifications:
</div><div><ul><li>A bachelor's degree in a STEM field or equivalent experience</li><li>
5+ years of experience in actuarial or analytical roles</li><li>
Proficiency in analyzing traditional insurance and non-traditional data sets using Python and R</li><li>
Experience in conducting analyses in Excel and programming languages such as R and Python</li><li>
Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc</li><li>
Experience interacting with Senior Management.</li></ul></div><div>
Preferred Qualifications:
<ul><li>An advanced degree in actuarial science, mathematics, statistics, or related fields, plus 5+ years of directly relevant actuarial experience</li><li>
A strong understanding of actuarial principles with an Associate or Fellow Actuary designation (FCAS, FSA, ACAS, ASA)</li><li>
A strong background in the insurance industry, ideally with experience in FinTech insurance products</li><li>
Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms</li></ul></div>
The total cash range for this position in San Francisco is $149,000.00 to $208,500.00. Employees in this role have the potential to increase their pay up to $238,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in San Jose is $149,000.00 to $208,500.00. Employees in this role have the potential to increase their pay up to $238,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Actuarial Data Scientist III

OpenAI

Careers
 
Data Scientist, Unit Econ
 
Data Science - San Francisco
 
About the Role
 
This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond.
 
You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication.
 
This position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available.
 
The Vision
 
Build causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV.
 
Design customer “happy paths” by identifying adoption journeys that maximize lifetime value while ensuring customers gain the most from our ecosystem.
 
Analyze price elasticity to guide product packaging, monetization, and pricing strategies.
 
In this role, you will: 
Partner with cross-functional teams (Finance, Product, Data Engineering, GTM, and other DS teams) to build causal inference and predictive models that drive business decisions.
 
Develop and maintain LTV models across product lines and customer cohorts.
 
Architect scalable frameworks and models that democratize economic insights for leadership and functional teams.
 
Support strategic pricing and investment decisions with robust analytical and causal evidence.
 
Lead cross-functional data science initiatives, ensuring analytical rigor, clarity, and timely delivery.
 
You might thrive in this role if you: 
Executive communication — ability to distill complex analysis into clear, actionable recommendations for leadership.
 
Technical breadth — comfort spanning ROI analysis, causal inference, statistical modeling, and ML predictive models; strong experience with Python and SQL.
 
Strategic judgment — ability to connect analytical insights to business impact, delivering the “so what” that informs leadership decisions.
 
Collaboration and ownership — thrive in a fast-paced, cross-functional environment and proactively take projects from concept to delivery.
 
Qualifications
 
MS or PhD in a quantitative field (Statistics, Economics, Applied Math, Operations Research, Computer Science, etc.).
 
7+ years of experience in applied data science, causal inference, or quantitative strategy.
 
Proven record of delivering high-impact insights to executive leadership.
 
Experience building scalable analytical frameworks and models that inform business decision-making.
 
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’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
 
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
 
$255K – $405K + Offers Equity

Data Scientist, Unit Econ

Genentech

<div><div><div>THE POSITION</div><div>
THE OPPORTUNITY</div>
The Research Pathology Department, an integral part of Genentech&rsquo;s Research and Early Development Organization (gRED), is dedicated to ensuring that strategies for the treatment of diseases are grounded in accurate analyses of pathogenetic mechanisms. Building upon a strong foundation in digital pathology, the department is at the forefront of advancing spatial omics capabilities, integrating cutting-edge, tissue-based technologies with computational methods to enable high-resolution spatial profiling of biological systems. By collaborating with therapeutic areas and research scientists, the department supports the discovery, characterization, and development of treatments for a wide range of diseases.
DPIA-SO (Digital Pathology Image Analysis- Spatial Omics) is a specialized team within Research Pathology focused on collaborative spatial omics computational analysis. The team&rsquo;s mission is to provide scientists with actionable insights from high-dimensional imaging data by developing and employing transparent, reproducible, and scalable spatial analysis methods and pipelines. We are seeking a highly skilled and motivated Spatial Omics Computational Scientist to join our team.
Key Responsibilities<ul><li>
Lead end-to-end analyses of single-cell spatial transcriptomics and proteomics datasets.</li><li>
Develop and apply advanced machine learning for spatial omics data analysis.</li><li>
Implement multi-modal data integration workflows for comprehensive biological insights.</li><li>
Analyze diverse spatial omics datasets from cutting-edge platforms (e.g., 10X Genomics Xenium/Visium HD, Lunaphore COMET).</li><li>
Collaborate with pathologists and researchers to interpret data and design experiments.</li><li>
Contribute to the advancement of spatial omics capabilities within Research Pathology.</li></ul><div></div><div>
WHO YOU ARE</div><ul><li>
Advanced degree (M.S. with 5+ years relevant experience or Ph.D.) in Computational Biology, Bioinformatics, Biomedical Engineering, Data Science, Imaging Science or a related field.</li><li>
Demonstrated tissue-based image processing experience.</li><li>
Proficiency in Python programming.</li><li>
Experience with machine learning techniques and tools (e.g., TensorFlow, PyTorch and scikit-learn).</li><li>
Experience in statistical analysis, structured data analysis (e.g. high dimensional data reduction, validation and statistics) and data visualization.</li><li>
Excellent problem-solving, communication, and collaborative skills as well as communication skills to present findings and prepare reports.</li></ul><div></div><div>
PREFERREDS</div><ul><li>
Expertise in single-cell spatial transcriptomics and/or spatial proteomics analysis.</li><li>
Hands-on experience with spatial omics platforms (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).</li><li>
Experience with multi-modal data integration combining various omics datasets.</li><li>
Basic knowledge of tissue histology and cell biology.</li><li>
Knowledge of computational and/or digital pathology workflows.</li><li>
Familiarity with tools like the scverse ecosystem (Scanpy, Squidpy, SpatialData) and image processing libraries (OpenCV, scikit-image).</li><li>
Understanding of infrastructure for managing large-scale imaging and single-cell data, including AWS cloud-based storage and distributed computing.</li><li>
Familiarity with tissue imaging techniques such as multiplexed immunofluorescence, in situ hybridization, or related methods.</li><li>
Background in experimental design for spatial omics or multi-modal studies.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $109,500 - $203,300. 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-KC2
#tech4lifeComputationalScience
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
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Oct 24th 2025
</div><div>Job ID
202510-126866</div></ul></div></div></div></div>

Computational Scientist, Spatial Omics

About the Team
 
The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.
 
As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.
 
We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.
 
About the Role
 
We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.
 
Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.
 
You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.
 
This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.
 
This role is based in San Francisco, CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
 
In this role, you will: 
Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.
 
Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.
 
Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.
 
Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.
 
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.
 
Research and evaluate emerging tools and techniques in the forecasting space.
 
Translate technical outputs into business-aligned recommendations and decision frameworks.
 
You might thrive in this role if you have: 
Extensive experience building production-ready models for time series applications.
 
Proven track record of building adjustable and explainable forecast models for multiple planning cycles.
 
10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling.
 
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.
 
Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.
 
Team leadership experience with a track record of building high-performing, engaged teams.
 
An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
 
A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.
 
The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed.
 
Bonus if you have: 
Experience building or scaling forecasting platforms in a high-growth company.
 
A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments.
 
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’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
 
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
 
$390K – $490K + Offers Equity

Head of Data Science and Machine Learning, Global Forecasting

Block

<div><div>Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.

So we expanded into software and started building integrated, omnichannel solutions &ndash; to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes &ndash; large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
<h3 class="jobSectionHeader">
The Role</h3>

Square risk is a core function to ensure we keep the platform as well as merchants safe by gaining their trust and through our dedicated economic empowerment. This role sits in the Square Risk Machine Learning team and we partner with product, engineering, data science, policy and operations together to take a principled approach to manage fraudulent activities on our platform.

We leverage both traditional and SOTA AI and ML techniques to detect and mitigate risks in the ecosystem. We are looking for a strong machine learning engineer to build end to end AIML solutions to elevate our risk management and optimize the way we operate. If you are strong in AIML space, like to work with smart people around the world and have passion to continuously take ownership and pride to challenge and improve stuff, you are the right person we are looking for.
<h3 class="jobSectionHeader">
You Will</h3>
<ul><li>Act as the ML modeling DRI, collaborating with platform engineers, product managers, data scientists, and policy analysts to drive the health and success of your risk squad.</li>
<li>Become a risk domain expert and trusted technical leader in your risk squad.</li>
<li>Build AI-powered automation tools or pipelines and propose improvements across Square's ML and broader Block risk ML org.</li>
Own the full lifecycle of ML solutions: data ingestion / processing / enrichment model development deployment<li> iteration.</li>
<li>Champion reusable, scalable solutions by building tools, libraries, and packages that boost team velocity.</li>
<li>Provide technical thought leadership and partner with peers and team lead to define roadmaps and execute on ambitious initiatives.</li>
<li>Contribute positively to team culture as a collaborative, empathetic, and reliable teammate who uplifts others.</li>
</ul><h3 class="jobSectionHeader">You Have</h3>
<ul><li>5+ years of software engineering or machine learning experience</li>
<li>A degree (preferably masters or PhD) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field</li>
<li>Hands-on experience independently designing and deploying ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning.</li>
<li>Proficiency in modern ML stacks including: PySpark, PyTorch, MLflow, SageMaker, GCP Vertex AI, Workflow orchestration tools (i.e. Airflow, Prefect)</li>
<li>Proficiency with containerization, orchestration, cloud platforms (AWS, GCP), and CI/CD practices.</li>
<li>Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML/AI solutions&mdash;both traditional and LLM-based&mdash;at scale.</li>
<li>Strong written and verbal communication skills with the ability to explain complex concepts to technical and non-technical stakeholders.</li>
<li>A natural sense of curiosity, and a passion for mentoring and helping shape a world-class machine learning team.</li>
</ul>
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build an inclusive workplace?

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $189,000 - USD $283,600

Zone B: USD $179,600 - USD $269,400

Zone C: USD $170,100 - USD $255,100

Zone D: USD $160,700 - USD $241,100<div>
Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us at privacy@block.xyz with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Machine Learning Scientist, Risk

Deloitte

<div>
 Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
 
 The Team
 
 
 Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
 
 
 Recruiting for this role ends on 11/30/2025.
 
 
 
 Work You'll Do
 
 
 
 As
 
 AI &amp; Data Consultant
 
 , you'll partner with clients to solve complex business challenges and deliver impactful, technology-driven change. You'll guide organizations through their digital transformation journeys, utilizing the latest innovations while supporting a variety of high-impact initiatives, including:
 
 
 <ul>
 <li>
 Evaluate, validate, and optimize Large Language Models (LLMs) in client and internal use cases.
 </li>
 <li>
 Develop software components, automation pipelines, and integrations leveraging your proficiency in Python.
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 Build scalable data solutions on leading cloud platforms, enhancing automation within AI and data engineering projects.
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 Collaborate across teams-product managers, data scientists, engineers, and business stakeholders-to ensure solutions align with client objectives.
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 Apply proven practices developed in fast-paced, start-up environments to help Deloitte's clients accelerate transformation.
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 Continuously expand your technical and domain expertise in AI, data, and cloud technologies.
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 Communicate updates, progress, and outcomes effectively to cross-functional peers and management.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in Python for data analysis and model development.
 </li>
 <li>
 1+ years of experience in LLM (Large Language Model) evaluation.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, GCP), data engineering, and pipeline automation
 </li>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, a related field, or equivalent work experience
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 <li>
 Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
 </li>
 <li>
 Flexibility to travel: Ability to travel up to 50%, based on client and sector needs
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2+ years of experience in AI deployment or applied Machine Learning.
 </li>
 <li>
 6 months + experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph)
 </li>
 <li>
 Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Data Science, or related field.
 </li>
 <li>
 Experience working in regulated industries with an understanding of security, compliance, and responsible AI practices.
 </li>
 <li>
 Hands-on experience with LLMs, vector databases, or generative AI APIs (e.g., OpenAI, Claude, Cohere).
 </li>
 <li>
 Knowledge of MLOps, CI/CD, and model deployment strategies.
 
 
 </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,800 to $171,300.
 
 
 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
 
 
 Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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