product data scientist

Anthropic

<div>
 <strong>
  <strong>
   About Anthropic
   <br/>
   <br/>
  </strong>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company&rsquo;s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You&rsquo;ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
 <br/>
 <br/>
 <strong>
  <strong>
   Core Responsibilities
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Define key metrics, build measurement frameworks, and maintain core reporting to evaluate success
  </li>
  <li>
   Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
  </li>
  <li>
   Develop hypotheses, apply rigorous causal inference methods &ndash; controlled experiments, synthetic controls &ndash; and analyze the results in order make actionable recommendations
  </li>
  <li>
   Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
  </li>
  <li>
   Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
  </li>
  <li>
   Present complex analyses and recommendations to both technical and non-technical stakeholders
  </li>
  <li>
   Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You May Be a Good Fit If You Have:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   5+ years of experience in data science or analytics roles
  </li>
  <li>
   Deep expertise with Python, SQL, and data visualization tools
  </li>
  <li>
   Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
  </li>
  <li>
   Highly effective written communication and presentation skills
  </li>
  <li>
   A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
  </li>
  <li>
   A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
  </li>
  <li>
   A passion for the company&rsquo;s mission of building helpful, honest, and harmless AI
  </li>
  <li>
   Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re hiring across multiple pillars
 <br/>
 <br/>
 Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.
 <br/>
 <br/>
 <strong>
  Platform Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform&mdash;spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
  </li>
  <li>
   Experience supporting B2B sales teams with data insights
  </li>
  <li>
   Strong instincts for what drives product adoption, engagement, and retention
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Consumer Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences&mdash;including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
  </li>
  <li>
   Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
  </li>
  <li>
   Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Research Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier.
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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
  </li>
  <li>
   Comfort working with unstructured data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise &amp; Verticals Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Enterprise &amp; Verticals product team - this team is responsible for transforming the way businesses work, enabling enterprise users to know more, create more, and see more with Claude. You'll partner closely with product, engineering, design, sales, and customer success to understand enterprise customers and deliver data-driven insights to improve how Claude serves knowledge workers.
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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience evaluating new verticals and driving data insights to help the team find PMF for 0-&gt;1 bets
  </li>
  <li>
   Deep understanding over knowledge workers and experience partnering with product teams to build for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Enterprise Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool to meet the needs of Enterprise businesses. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep familiarity with software development workflows, developer tools, and engineering productivity metrics&mdash;ideally from working at developer-focused companies or on products targeting software engineers
  </li>
  <li>
   Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
  </li>
  <li>
   Experience supporting product teams building for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we introduce Claude to Enterprise businesses.
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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience working at multi-segment, multi-product B2B companies serving Enterprise customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we bring Claude Code to the world.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience building, selling or marketing developer tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  GTM Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn messy, high-stakes commercial data into actionable strategy. You will play a crucial role in driving data-informed decisions across the commercial customer lifecycle&mdash;from new logo acquisition through activation, expansion, and retention&mdash;for a rapidly scaling consumption-based AI platform.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Infrastructure Data Scientist
  <br/>
  <br/>
 </strong>
 You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed systems and performance engineering, ideally in ML infrastructure contexts (model serving, inference latency, large-scale system metrics)
  </li>
  <li>
   Familiarity with SRE practices, error budgets, SLOs/SLIs, observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Developer Productivity Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of data science, developer experience, and AI tooling &mdash; and offers the rare opportunity to study frontier AI usage from the inside, with the builders themselves as your users. You'll define how Anthropic understands and improves developer productivity &mdash; both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows. You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work. Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.
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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct experience working with developer productivity, infrastructure, performance, or platform teams in hypergrowth environments
  </li>
  <li>
   Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary:
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Education requirements:
 </strong>
 We require at least a Bachelor's degree in a related field or equivalent experience.
 <br/>
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 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
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 <strong>
  <strong>
   How We're Different
   <br/>
   <br/>
  </strong>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process
</div>


Data Scientist

Data Scientist, Analytics (Technical Leadership)

Docusign

<div>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 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).
 <br/>
 <br/>
 What you'll do
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 This position is an individual contributor role reporting to the Director of Product Data Science.
 <br/>
 <br/>
 <strong>
  Responsibility
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 Job Designation
 <br/>
 <br/>
 <strong>
  Hybrid:
 </strong>
 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)
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 What you bring
 <br/>
 <br/>
 <strong>
  Basic
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 Wage Transparency
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Based on applicable legislation, the below details pay ranges in the following locations:
 <br/>
 <br/>
 California: $100,300.00 - $154,900.00 base salary
 <br/>
 <br/>
 <strong>
  This Role Is Also Eligible For The Following
  <br/>
  <br/>
 </strong>
 <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).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Global benefits provide options for the following:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Authorization Notice:
 </strong>
 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.
 <br/>
 <br/>
 Life at Docusign
 <br/>
 <br/>
 <strong>
  Working here
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Accommodation
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Applicant and Candidate Privacy Notice
 <br/>
 <br/>
 States Not Eligible for Employment
 <br/>
 <br/>
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 <br/>
 <br/>
 Equal Opportunity Employer
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 EEO Know Your Rights poster
 <br/>
 <br/>
</div>


Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 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
 <strong>
  Product Data Scientist
 </strong>
 who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <strong>
  🔍 Generate Insights &amp; Shape Product Direction
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧪 Drive Experimentation &amp; Measurement
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🛠 Build Data Products &amp; Tools
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🤝 Lead Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  US Based
  <br/>
  <br/>
 </strong>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  🎓 Experience &amp; Expertise
  <br/>
  <br/>
 </strong>
 As our next
 <strong>
  Product Data Scientist
 </strong>
 , you bring:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧠 Technical Skills
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🗣 Collaboration &amp; Leadership
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary) US based applicants:
 </strong>
 $185,000/year to $240,000/year + benefits + equity.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <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>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 Compensation Range: $185K - $240K
 <br/>
 <br/>
</div>


Data Scientist, Product Analytics

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for our fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>We are currently recruiting for a Data Scientist within the multidisciplinary Advertising Product Insights team. This role is focused on supporting the scaling of the future of Spotify Advertising, our self-service advertising platform, Spotify Ads Manager. Our work sits at the intersection of R&amp;D and the Ads business, and we are responsible for bringing the right data and insights to our breadth of stakeholders to understand Spotify Ads Manager performance, and the advertiser experience with Spotify.</div><div><br>
</div><div>Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use a range of data science tools and capabilities to work closely with product, design, engineering, user research, product marketing, and our business stakeholders on one or more of the following areas:</div><div><br>
</div><div>Customer facing product development for advertisers</div><div>
Data requirements and management for our ever expanding platform</div><div>
Spotify Advertiser and Spotify Ads Manager growth initiatives</div><div>
Experimentation, causal inference and Insights for Spotify Ads Manager optimization</div><div>
Defining new metrics, forecasts, and benchmarks for product evolution</div><div>
Evolving Ads Manager self-service performance and UX reporting
</div></div></div></div><div><div><p>What You'll Do</p><ul><ul><li>
Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions throughout all stages of the product development lifecycle</li><li>
Define data requirements and support the implementation of data specs for product launches</li><li>
Support the management and maintenance of the Spotify Ads Manager&rsquo;s data and reporting (including dashboards) ecosystem</li><li>
Build lasting solutions to surface critical data and performance metrics</li><li>
Design and conduct experiments to drive iterative improvement to both user and advertiser metrics through efficient experimentation</li><li>
Communicate data-driven insights and recommendations to key partners</li><li>
Develop individually to continue to grow your impact, and help mentor peers and early career colleagues</li></ul></ul></div></div><div><div><p>
Who You Are</p><ul><ul><li>
You have 3+ years experience in a similar data science role</li><li>
You are interested in supporting the growth of a maturing platform, building the foundation for the future of Spotify Advertising</li><li>
Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, product teams, sales teams or marketing teams</li><li>
You have the technical competence to perform more advanced analytics: Coding skills for analytics and data extraction (SQL, Python - packages such as pandas and numpy) and Data visualization (Tableau, Looker, matplotlib)</li><li>
You have experience performing analysis with large datasets</li><li>
You have a strong understanding of statistics and machine learning</li><li>
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis</li><li>
You are capable of solving very loosely defined problems</li><li>
You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms</li><li>
You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team</li></ul></ul></div></div><div><div><p>
Where You'll Be</p><ul><ul><li>
We are a distributed workforce enabling our band members to find a work mode that is best for them!</li><li>
Where in the world? For this role, it can be anywhere in the North America region in which we have a work location</li><li>
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.</li><li>
Working hours? We operate within the Eastern time zone for collaboration.</li></ul></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $107,766 - $153,951, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Scientist, Advertising

Quizlet

<div>
 <strong>
  About Quizlet
  <br/>
  <br/>
 </strong>
 At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.
 <br/>
 <br/>
 We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We&rsquo;re energized by the potential to power more learners through multiple approaches and various tools.
 <br/>
 <br/>
 Let&rsquo;s Build the Future of Learning
 <br/>
 <br/>
 Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team's outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying and driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to ensure we are building a data-driven culture.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Senior Data Scientist on the Core Product Analytics team, you&rsquo;ll partner with Product, Engineering, Design, and other Data Science teams to deliver insights that shape the way millions of students learn with Quizlet. You&rsquo;ll bring analytical rigor to every stage of product development&mdash;designing experiments, identifying opportunities, and translating data into actionable product recommendations.
 <br/>
 <br/>
 You&rsquo;ll work with a rich dataset spanning student learning behavior and engagement, helping to uncover insights that directly influence strategy and product design. This role is perfect for a data scientist who thrives at the intersection of experimentation, analytics, and storytelling.
 <br/>
 <br/>
 We&rsquo;re happy to share that this is an
 <strong>
  onsite position
 </strong>
 in our San Francisco office. To help foster team collaboration, we require that employees be in the office a
 <strong>
  minimum of three days per week
 </strong>
 : Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Focus on driving business insights through data to guide product strategy and feature development
  </li>
  <li>
   Develop analytical frameworks and foundations that enable the business to act on key insights
  </li>
  <li>
   Collaborate within a product pod alongside partners in Product, Engineering, Design, and User Research
  </li>
  <li>
   Design and analyze A/B experiments from inception to measurement, interpretation, and recommendation
  </li>
  <li>
   Present insights and findings that influence product direction and company priorities
  </li>
  <li>
   Define key performance metrics and ensure consistent measurement across product initiatives
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring To The Table
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in data science at a consumer internet company
  </li>
  <li>
   Experience running A/B tests and applying statistical techniques for modeling and predicting user behavior
  </li>
  <li>
   Experience partnering with product and engineering teams to drive strategy and execution through data
  </li>
  <li>
   Strong SQL skills and comfort working with large datasets
  </li>
  <li>
   Strong communication skills and the ability to visualize and present complex insights clearly
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with dbt or Airflow
  </li>
  <li>
   Expertise in Python for data analysis and modeling
  </li>
  <li>
   Degree in Math, Physics, Statistics, Economics, Computer Science, or another quantitative field
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation, Benefits &amp; Perks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $161,011- $241,516 depending on location and experience, as well as company stock options
  </li>
  <li>
   Collaborate with your manager and team to create a healthy work-life balance
  </li>
  <li>
   20 vacation days that we expect you to take!
  </li>
  <li>
   Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
  </li>
  <li>
   Employer-sponsored 401k plan with company match
  </li>
  <li>
   Access to LinkedIn Learning and other resources to support professional growth
  </li>
  <li>
   Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
  </li>
  <li>
   40 hours of annual paid time off to participate in volunteer programs of choice
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Quizlet?
  <br/>
  <br/>
 </strong>
 🌎 Massive reach: 60M+ users, 1B+ interactions per week
 <br/>
 <br/>
 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science
 <br/>
 <br/>
 📈 Strong momentum: Top-tier investors, sustainable business, real traction
 <br/>
 <br/>
 🎯 Mission-first: Work that makes a difference in people&rsquo;s lives
 <br/>
 <br/>
 🤝 Inclusive culture: Committed to equity, diversity, and belonging
 <br/>
 <br/>
 We strive to make everyone feel comfortable and welcome!
 <br/>
 <br/>
 We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
 <br/>
 <br/>
 We provide a transparent setting that gives a comprehensive view of who we are!
 <br/>
 <br/>
 <strong>
  In Closing
  <br/>
  <br/>
 </strong>
 At Quizlet, we&rsquo;re excited about passionate people joining our team&mdash;even if you don&rsquo;t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.&rdquo;
 <br/>
 <br/>
 Quizlet&rsquo;s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.
 <br/>
 <br/>
 As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
 <br/>
 <br/>
 <strong>
  To All Recruiters And Placement Agencies
  <br/>
  <br/>
 </strong>
 At this time, Quizlet does not accept unsolicited agency resumes and/or profiles.
 <br/>
 <br/>
 Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 <br/>
 <br/>
</div>


Senior  Data Scientist, Analytics - Core Product

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