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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

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senior front-end engineer

(usa) senior, data analyst Jobs in San Francisco

(usa) senior, data analyst

senior data scientist

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

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>


Data Scientist

OpenAI

Careers
<br><br>
Data Scientist, People Innovation
<br><br>
Data Science - San Francisco
<br><br>
About the Role
<br><br>
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.
<br><br>
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.
<br><br>
In this role, you’ll be embedded with Product and Engineering to ensure our work drives measurable business outcomes.
<br><br>
What You’ll Do
<br><br>
Define success metrics for agentic recruiting and HR systems, including leading indicators that enable weekly iteration.
<br><br>
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.
<br><br>
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
<br><br>
<b>Translate behavioral and model-driven signals into decisions:</b> what to scale, where to intervene, and how to allocate human and compute attention across segments.
<br><br>
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
<br><br>
What We’re Looking For
<br><br>
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.
<br><br>
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
<br><br>
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
<br><br>
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
<br><br>
<b>Strong business judgment and a bias toward action:</b> able to scope ambiguous problems, define success, and move quickly from insight to strategy.
<br><br>
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
<br><br>
Interest in building company culture and/or recruiting the world’s most talented people.
<br><br>
Nice to Have
<br><br>
Familiarity with large language models and AI-assisted operations platforms.
<br><br>
Experience working on operational automation and decision systems (routing, prioritization, optimization).
<br><br>
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$230K – $342K + Offers Equity

Data Scientist, People Innovation

Data Scientist, Product Analytics

Intuit

<div><b>Category</b> Data <b>Location</b> San Francisco, California <b>Job ID</b> 20187</div>
<br><div><div><h2 class="jobSectionHeader"><b>Company Overview</b></h2>
<div><p>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.</p>
</div></div><div><h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<div><div>sdfend-t</div></div><p>
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.</p><div></div><p>
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.</p><p><b><br>
Responsibilities</b></p><ul><li><p>
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.</p></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><p>
Streamline the organization&rsquo;s ability to generate insights, make informed decisions, and pivot quickly through improved data accessibility and trust.<br>
Provide guidance to business leaders and stakeholders on how to best leverage available data to meet critical business goals.</p></li><li><p>
Bring hands-on experience designing scalable, performance-optimized data layers</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
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.</p></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><p>
Passion for mentoring and developing others while advancing team capability.</p></li><li><p>
A scrappy, hands-on mindset with a willingness to roll up sleeves, diagnose data issues, and creatively enable analytics and data access at speed.</p></li></ul><p><br>
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:</p><br>
<p></p>
</div><div> <p>Saved</p></div></div><p></p>

Staff Data Scientist

GoodLeap

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
</div><div>
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h4 class="jobSectionHeader"><b><br>
Position Summary</b></h4>
<p>
We are seeking a Staff Data Scientist with experience owning data science roadmaps and influencing stakeholders to guide the business strategy. Our ideal candidate is impact-oriented, comfortable balancing competing priorities, and skilled at working independently with both product and business stakeholders. In this role, you will scope, prioritize, and execute analysis projects that will uncover opportunities, inform investments, and drive accountability for results. You will also work closely with other members of the Analytics team on foundational projects to empower analysts and business users across the company with more and easier access to data.</p>
<h3 class="jobSectionHeader"><b>
Essential Job Duties &amp; Responsibilities</b></h3><div>
<div>
<ul><li><p>Work with stakeholders to scope and prioritize analysis and modeling projects that will drive impact and guide business and product decisions</p>
</li>
</ul></div><div><ul><li><p>Develop metrics that are informative, responsive, and relevant to stakeholder teams&rsquo; actions</p>
</li>
</ul></div><div><ul><li><p>Design and execute rigorous, actionable analyses and data modeling projects, using appropriate statistical methods to validate hypotheses and/or production actionable predictions and prescriptions</p>
</li>
</ul></div><div><ul><li><p>Communicate analysis and modeling results effectively to non-technical stakeholders and represent data perspective in strategy and architecture conversations</p>
</li>
</ul></div><div><ul><li><p>Work with stakeholder teams to identify key assumptions in business strategy and/or business opportunities addressable through data modeling and develop plans for using data to learn quickly and deliver results</p>
</li>
</ul></div><div><ul><li><p>Work with product and business teams to develop and execute measurement plans for new initiatives and/or model deployments, including selecting success metrics, reviewing instrumentation and measurement plans, and developing launch reporting</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Required Skills, Knowledge &amp; Abilities
</b></h3><div><div><ul><li><p>MS in DS, Statistics, or related technical degree or equivalent work experience</p>
</li>
</ul></div><div><ul><li><p>6-10 years' experience as a Data Scientist or in a similar role</p>
</li>
</ul></div><div><ul><li><p>5+ years' hands-on SQL experience in a work environment</p>
</li>
</ul></div><div><ul><li><p>Experience with data modeling and/or casual inference, as appropriate for role</p>
</li>
</ul></div><div><ul><li><p>Experience with statistical programming in Python (numpy, pandas) or R</p>
</li>
</ul></div><div><ul><li><p>Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools</p>
</li>
</ul></div><div><ul><li><p>Demonstrated ability to work cross-functionally and communicate with technical and non-technical teams</p>
</li>
</ul></div><div><ul><li><p>Demonstrated ability to work with stakeholders to translate business questions into rigorous and actionable data projects</p>
</li>
</ul></div><div><ul><li><p>Experience owning, prioritizing, and communicating an analysis and/or data modeling roadmap for a business area</p>
</li>
</ul></div></div><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
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.</p></div>

Staff Data Scientist, Business Solutions

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
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</div>


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