data engineer

machine learning engineer Jobs in San Francisco

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data scientist, product analytics Jobs in San Francisco

data scientist, product analytics

senior data engineer Jobs in San Francisco

senior data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

data scientist

Docusign

<div>
 
 Company Overview
 
 
 
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 
 
 What you'll do
 
 
 Docusign's Product Data Science team is looking for a Data Scientist to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist, you&rsquo;ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign&rsquo;s products. If you are an experienced data scientist passionate about data-driven product development and building products and capabilities that enable a culture of &ldquo;test and learn,&rdquo; then this could be a great role for you.
 
 
 This position is an individual contributor role reporting to the Director of Product Data Science.
 
 
 
 Responsibility
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention
 </li>
 <li>
 Be the subject matter expert for driving the product data strategy for the areas you support.
 </li>
 <li>
 Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact
 </li>
 <li>
 Specify and help implement product telemetry, define key performance indicators with goals, and own and manage regular reports to create insights around product usage and success
 </li>
 <li>
 Partner with Global Data Analytics team to automate data pipelines to snowflake from different source systems
 </li>
 <li>
 Design and build automated dashboards that connect data from internal and external data sources, with visualizations and tools that allow business users to self-serve on their website data needs
 </li>
 <li>
 Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models
 </li>
 <li>
 Leverage data to develop actionable analytical insights and present findings to senior management
 </li>
 <li>
 Evangelize models, frameworks, analysis, and insights with stakeholders and business partners
 </li>
 <li>
 Act with a sense of urgency and purpose, identify and resolve roadblocks, reach out to cross-functional team members to solicit input and/or assist when appropriate
 
 
 </li>
 </ul>
 Job Designation
 
 
 
 Hybrid:
 
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 
 
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 
 
 What you bring
 
 
 
 Basic
 
 
 
 <ul>
 <li>
 BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics or Finance) or equivalent work experience
 </li>
 <li>
 2+ years of demonstrated experience with business analytics or product analytics in a data science or analytics role in a SaaS/Cloud industry
 </li>
 <li>
 Experience with pulling data from external sources, joining data from disparate data systems and distilling large data sets into actionable insights that drive business value
 </li>
 <li>
 Experience with SQL for data analysis and data validation
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Power BI, or similar
 </li>
 <li>
 Experience with statistics and rigorous analytical techniques
 </li>
 <li>
 Experience solving real business problems using data and analytics
 </li>
 <li>
 Experience communicating data and technical work to non-technical stakeholders
 </li>
 <li>
 Experience working with Product Engineering and other technical teams to implement the product telemetry requirements
 </li>
 <li>
 Knowledge and experience of agile/scrum product development
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Strong communication and leadership skills, especially the ability to collaborate cross-functionally and lead through influence across functional and organizational lines
 </li>
 <li>
 Ability to present data in a visual format and explain the insights clearly and concisely
 </li>
 <li>
 Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies
 </li>
 <li>
 Experience designing and refining machine learning models
 </li>
 <li>
 Experience with Python or R
 </li>
 <li>
 Familiarity with data engineering processes
 </li>
 <li>
 Highly motivated, organized, self-starter who thrives in a fast-paced environment
 
 
 </li>
 </ul>
 Wage Transparency
 
 
 Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
 
 
 Based on applicable legislation, the below details pay ranges in the following locations:
 
 
 California: $100,300.00 - $154,900.00 base salary
 
 
 
 This Role Is Also Eligible For The Following
 
 
 
 <ul>
 <li>
 Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
 </li>
 <li>
 Stock: This role is eligible to receive Restricted Stock Units (RSUs).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Global benefits provide options for the following:
 
 
 <ul>
 <li>
 Paid Time Off: earned time off, as well as paid company holidays based on region
 </li>
 <li>
 Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
 </li>
 <li>
 Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
 </li>
 <li>
 Retirement Plans: select retirement and pension programs with potential for employer contributions
 </li>
 <li>
 Learning and Development: options for coaching, online courses and education reimbursements
 </li>
 <li>
 Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
 
 
 </li>
 </ul>
 
 Work Authorization Notice:
 
 Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
 
 
 Life at Docusign
 
 
 
 Working here
 
 
 
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 
 
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 
 
 
 Accommodation
 
 
 
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 
 
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 
 
 Applicant and Candidate Privacy Notice
 
 
 States Not Eligible for Employment
 
 
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 
 
 Equal Opportunity Employer
 
 
 It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
 
 
 EEO Know Your Rights poster
 
 
</div>

Data Scientist

Intuit

<div>Category Data Location San Francisco, California Job ID 20187</div>
 <div><div><h2 class="jobSectionHeader">Company Overview</h2>
<div>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
</div></div><div><h2 class="jobSectionHeader">Job Overview</h2>
<div><div>sdfend-t</div></div>
Data as a Product has emerged as one of the most impactful applications of data in driving business outcomes. Organizations that treat data as a durable product&mdash;rather than a byproduct&mdash;can significantly reduce the time required to operationalize data for internal and external customer solutions.<div></div>
Data Products sit at the intersection of Technology, Business, and Data, solving customer and business problems through the strategic application of data. This role is a Staff Data Scientist product leadership position responsible for driving end-to-end, cross-functional solutions that strengthen Intuit&rsquo;s credit card data foundation while enabling new data-powered business opportunities. These efforts will improve segmentation and targeting, unlock new customer experiences, enable ML/AI use cases, and support the seamless flow of data across the ecosystem. 
Responsibilities<ul><li>
Serve as the Staff Data Scientist owning all Intuit credit card-related data products in the analytics environment, including data flows and architecture supporting ML/AI modeling, analytics, and internal and external reporting use cases.</li><li><div>
Execute with a strong technical mindset to unblock teams and accelerate progress on a 0-to-1 credit card product, while maintaining a capability-driven approach that prioritizes scalability, flexibility, and sound data governance.</div></li><li><div>
Own data governance, data quality, and data enablement across multiple teams, including AI science, data science, BI, risk and underwriting, collections, and operations.</div></li><li><div>
Own data products across the entire credit card lifecycle, including acquisition, engagement, rewards, underwriting, and collections.</div></li><li><div>
Create and drive a strategic roadmap of data capabilities and processes, with end-to-end ownership across UX, Engineering, Design, Marketing, Product, Legal, and other partners.</div></li><li><div>
Drive strategic thinking to identify opportunities for internal and external applications of data, pitch new ideas, and secure cross-functional alignment and resourcing to deliver new initiatives.</div></li><li><div>
Represent data innovation and strategy in operational and leadership forums to inspire data-driven decision-making and operational efficiencies.</div></li><li>
Streamline the organization&rsquo;s ability to generate insights, make informed decisions, and pivot quickly through improved data accessibility and trust. 
Provide guidance to business leaders and stakeholders on how to best leverage available data to meet critical business goals.</li><li>
Bring hands-on experience designing scalable, performance-optimized data layers</li></ul> 
Qualifications<ul><li>
8+ years of experience working in complex data domains, leading data strategy, instrumentation, and the development of data products to solve business and customer problems.</li><li><div>
Proven ability to manage complex, cross-functional initiatives end-to-end, driving organizational change through clear strategy and strong execution.</div></li><li><div>
Strong business acumen combined with deep understanding of the data lifecycle, and the ability to iteratively mature data to unlock higher-order business use cases.</div></li><li><div>
Proficiency with modern data and analytics tools, platforms, data models, including familiarity with modern data stack trends and best practices.</div></li><li><div>
Strong technical fluency in data flows and database languages, with the ability to speak the language of data engineers and software engineers, propose technical solutions, review code when needed, and diagnose root-cause data issues.</div></li><li><div>
Exceptional communication and leadership skills, with the ability to drive clarity, influence across functions, and get complex work executed quickly.</div></li><li>
Passion for mentoring and developing others while advancing team capability.</li><li>
A scrappy, hands-on mindset with a willingness to roll up sleeves, diagnose data issues, and creatively enable analytics and data access at speed.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 

</div><div> Saved</div></div>

Staff Data Scientist

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 
 
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 
 
 ***We are open to remote candidates***
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
 </li>
 <li>
 Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
 </li>
 <li>
 Analyze complex datasets to uncover clear, actionable insights that shape product direction.
 </li>
 <li>
 Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
 </li>
 <li>
 Strong proficiency in SQL and Python.
 </li>
 <li>
 Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
 </li>
 <li>
 Skilled in designing, building, and maintaining dashboards and core product performance metrics.
 </li>
 <li>
 Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
 </li>
 <li>
 Excellent communicator with strong stakeholder-management skills across diverse teams.
 </li>
 <li>
 Background in fraud or risk domains &mdash; Nice to have.
 </li>
 <li>
 Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
 </li>
 <li>
 Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
 
 
 </li>
 </ul>
 $162,000 - $222,000 a year
 
 
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - New York City and San Francisco Bay Area
 
 
 Zone 2 - Los Angeles, Seattle, Washington D.C.
 
 
 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
 
 
 Zone 4 - Raleigh-Durham and all other US cities
 
 
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Data Scientist - Fraud

<div>
 
 Company Overview
 
 
 
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 
 
 What you'll do
 
 
 We&rsquo;re looking for a strategic, execution-minded Growth Data Scientist to be the data science engine behind Docusign&rsquo;s self-serve retention motion &mdash; ensuring our customers stay active, get value, and renew through intuitive, data-driven product and lifecycle experiences. Partnering closely with a cross-functional squad &mdash; including Growth, Product, Lifecycle Marketing, Customer Success, Engineering, and Strategy &amp; Ops &mdash; you will use data and insights to help build and scale the systems that prevent churn and drive durable customer value.
 
 
 You will lead strategic analyses and hands-on experimentation to uncover, validate, and scale new ways to reduce active and partial churn by improving usage, value realization, plan fit, and save-flows. You will sit at the center of Docusign&rsquo;s retention strategy, translating behavioral signals, product telemetry, and customer intent into decisions that shape how customers stay, downgrade, upgrade, or renew.
 
 
 In this high-impact, hands-on role, you will own retention performance readouts, design and analyze cancel-save and customer lifecycle experiments, and deliver clear, compelling insights that directly inform product, marketing, and go-to-market execution. You will help Docusign evolve to a proactive, intelligent, and customer-centric retention engine &mdash; where the right intervention happens at the right moment in the customer journey.
 
 
 Our ideal candidate combines best-in-class analytical skills, a strong strategic mindset with a bias for execution, a passion for experimentation and continuous learning, and a proven record of turning usage, churn signals, and customer behavior into measurable retention and revenue impact.
 
 
 This position is an individual contributor role reporting to the Director, Growth Analytics.
 
 
 
 Responsibility
 
 
 
 <ul>
 <li>
 Translate complex data and analyses into clear, data‑backed recommendations for senior leadership, influencing strategic direction across Growth, Product, Marketing, Sales, and Customer Success
 </li>
 <li>
 Provide regular reporting on key metrics to executive leadership, highlighting successes, identifying risks, and recommending proactive solutions
 </li>
 <li>
 Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and GTM decisions and quantify business impact
 </li>
 <li>
 Identify growth opportunities and risks, using forecasting and scenario modeling to guide resource allocation and prioritization
 </li>
 <li>
 Apply advanced analytical techniques (e.g., predictive modeling, customer segmentation, LTV analysis) to understand customer behavior, forecast outcomes, and inform strategic initiatives
 
 
 </li>
 </ul>
 Job Designation
 
 
 
 Hybrid:
 
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 
 
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 
 
 What you bring
 
 
 
 Basic
 
 
 
 <ul>
 <li>
 2+ years of experience in Analytics, Data Science, or related roles - ideally spanning product/growth analytics, strategic/consulting analytics, or sales‑operations analytics in a SaaS environment
 </li>
 <li>
 Experience with experimentation frameworks (A/B testing, causal inference) and strategic analysis
 </li>
 <li>
 Experience with SQL plus Python or R, and strong command of visualization tools such as Tableau, Looker, or equivalent
 </li>
 <li>
 Demonstrated ability to distill complex analytical findings into concise, actionable recommendations for executive audiences
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
 </li>
 <li>
 Prior partnership with Growth Product Management or Marketing, influencing strategy through data‑driven insights.
 </li>
 <li>
 Experience operating in hybrid self‑serve / sales‑assisted SaaS business models
 </li>
 <li>
 MBA, MS, or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Economics)
 
 
 </li>
 </ul>
 Wage Transparency
 
 
 Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
 
 
 Based on applicable legislation, the below details pay ranges in the following locations:
 
 
 California: $100,300.00 - $154,900.00 base salary
 
 
 
 This Role Is Also Eligible For The Following
 
 
 
 <ul>
 <li>
 Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
 </li>
 <li>
 Stock: This role is eligible to receive Restricted Stock Units (RSUs).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Global benefits provide options for the following:
 
 
 <ul>
 <li>
 Paid Time Off: earned time off, as well as paid company holidays based on region
 </li>
 <li>
 Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
 </li>
 <li>
 Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
 </li>
 <li>
 Retirement Plans: select retirement and pension programs with potential for employer contributions
 </li>
 <li>
 Learning and Development: options for coaching, online courses and education reimbursements
 </li>
 <li>
 Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
 
 
 </li>
 </ul>
 
 Work Authorization Notice:
 
 Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
 
 
 Life at Docusign
 
 
 
 Working here
 
 
 
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 
 
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 
 
 
 Accommodation
 
 
 
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 
 
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 
 
 Applicant and Candidate Privacy Notice
 
 
 States Not Eligible for Employment
 
 
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 
 
 Equal Opportunity Employer
 
 
 It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
 
 
 EEO Know Your Rights poster
 
 
</div>

Growth Data Scientist

OpenAI

<div>
 
 About The Team
 
 
 
 The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI&rsquo;s Preparedness Framework.
 
 
 Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.
 
 
 
 The Mission Of The Preparedness Team Is To
 
 
 
 <ul>
 <li>
 Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society
 </li>
 <li>
 Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems
 
 
 </li>
 </ul>
 Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes.
 
 
 This position goes beyond &ldquo;running evals.&rdquo; You&rsquo;ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).
 </li>
 <li>
 Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.
 </li>
 <li>
 Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.
 </li>
 <li>
 Identify trends in over-blocking vs. under-blocking, quantify customer impact, and propose prioritized interventions.
 </li>
 <li>
 Develop insights from customer feedback, complaints, and usage patterns to detect shifts in adversarial behavior and system failure modes.
 </li>
 <li>
 Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.
 </li>
 <li>
 Communicate results to technical and executive stakeholders with crisp narratives, decision-ready metrics, and clear tradeoffs.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You Are
 
 
 
 <ul>
 <li>
 An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.
 </li>
 <li>
 Strong at executive-ready communication: concise, clear, and outcome-oriented.
 </li>
 <li>
 Skilled in turning analysis into productable changes: you&rsquo;re comfortable influencing across functions to drive mitigation improvements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust &amp; safety, abuse prevention, fraud, platform integrity, or reliability).
 </li>
 <li>
 Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.
 </li>
 <li>
 Fluency in SQL and Python (or equivalent) for analysis, modeling, and building monitoring workflows.
 </li>
 <li>
 Experience building metrics, dashboards, and operational monitoring that meaningfully changes outcomes (not just reporting).
 </li>
 <li>
 Track record of driving cross-functional impact with engineering, product, and research partners.
 </li>
 <li>
 Cybersecurity data science experience (strong preference), including exposure to threat modeling, adversarial dynamics, abuse patterns, or security telemetry.
 </li>
 <li>
 Experience with classifier evaluation, calibration, thresholding, and error analysis at scale. Familiarity with detection systems in adversarial settings (e.g., evasion, distribution shift, feedback loops).
 </li>
 <li>
 Trust &amp; Safety experience is helpful, but not required.
 </li>
 <li>
 Genuine interest in AI safety, alignment, and catastrophic risk prevention.
 
 
 </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: $347K - $400K
</div>

Data Scientist, Preparedness

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We&rsquo;re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we&rsquo;re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, Poland, and Australia, we&rsquo;re building the future of online marketplaces &ndash;together.
 
 
 From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
 
 
 And we&rsquo;re just getting started! As one of the fastest growing marketplaces, we&rsquo;re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We&rsquo;re looking for a
 
 Product Data Scientist
 
 who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
 
 
 
 In This Role, You Will
 
 
 
 
 🔍 Generate Insights &amp; Shape Product Direction
 
 
 
 <ul>
 <li>
 Define and own the KPIs that measure product health, user engagement, and marketplace performance.
 </li>
 <li>
 Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
 </li>
 <li>
 Translate complex data into actionable recommendations for product and leadership teams.
 
 
 </li>
 </ul>
 
 🧪 Drive Experimentation &amp; Measurement
 
 
 
 <ul>
 <li>
 Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
 </li>
 <li>
 Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
 </li>
 <li>
 Build scalable methodologies to understand feature performance and guide iteration.
 
 
 </li>
 </ul>
 
 🛠 Build Data Products &amp; Tools
 
 
 
 <ul>
 <li>
 Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
 </li>
 <li>
 Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
 
 
 </li>
 </ul>
 
 🤝 Lead Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
 </li>
 <li>
 Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
 </li>
 <li>
 Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
 
 
 </li>
 </ul>
 
 US Based
 
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 Curious about who thrives at Whatnot? We&rsquo;ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
 
 
 
 🎓 Experience &amp; Expertise
 
 
 
 As our next
 
 Product Data Scientist
 
 , you bring:
 
 
 <ul>
 <li>
 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
 </li>
 <li>
 A bachelor&rsquo;s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
 </li>
 <li>
 Proven experience applying statistical and analytical methods to real-world product problems.
 
 
 </li>
 </ul>
 
 🧠 Technical Skills
 
 
 
 <ul>
 <li>
 Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
 </li>
 <li>
 Proficiency with Python or R for data analysis, modeling, and experimentation.
 </li>
 <li>
 Experience designing and analyzing A/B tests and understanding causal inference techniques.
 </li>
 <li>
 Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
 
 
 </li>
 </ul>
 
 🗣 Collaboration &amp; Leadership
 
 
 
 <ul>
 <li>
 Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
 </li>
 <li>
 Experience leading cross-functional projects and influencing product strategy with data.
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
 
 
 </li>
 </ul>
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary) US based applicants:
 
 $185,000/year to $240,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $185K - $240K
 
 
</div>

Data Scientist, Product Analytics

Careers
 
Data Scientist, People Innovation
 
Data Science - San Francisco
 
About the Role
 
We’re hiring a Data Scientist to support People Innovation Labs, a fast-moving engineering team embedded in the People organization focused on rethinking how we find and retain the best talent and empower everyone to do their best work.
 
From recruiting to culture, we’re designing systems and products that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.
 
In this role, you’ll be embedded with Product and Engineering to ensure our work drives measurable business outcomes.
 
What You’ll Do
 
Define success metrics for agentic recruiting and HR systems, including leading indicators that enable weekly iteration.
 
Design measurement and experimentation frameworks for always-on systems across every stage of the candidate and employee lifecycle — using holdouts, staged rollouts, and quasi-experimental methods when needed.
 
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
 
Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
 
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
 
What We’re Looking For
 
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company or in the internal people software space.
 
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
 
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
 
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
 
Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
 
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
 
Interest in building company culture and/or recruiting the world’s most talented people.
 
Nice to Have
 
Familiarity with large language models and AI-assisted operations platforms.
 
Experience working on operational automation and decision systems (routing, prioritization, optimization).
 
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
 
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
 
.
 
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.
 
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
 
$230K – $342K + Offers Equity

Data Scientist, People Innovation

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