associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations)

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associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations) Jobs in San Francisco

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data & ai specialist

data analytics specialist

Chime

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Data Analyst supporting Chime&rsquo;s lending portfolio, you will help drive data-informed decisions that improve member liquidity and lending experiences. You&rsquo;ll work closely with Product, Risk, Finance, Marketing, and Analytics partners to analyze performance, support experimentation, and surface insights across the lending funnel. This role is well-suited for an analyst who is building strong fundamentals in product and financial analytics and is eager to grow their impact in a fast-paced environment.
 <br/>
 <br/>
 The base salary offered for this role and level of experience will begin at $109,000 and up to $150,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
 <br/>
 <br/>
 <strong>
  In This Role, You Can Expect To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support analytics and measurement for lending initiatives, including tracking performance and key metrics across the funnel
  </li>
  <li>
   Experience in experimentation, statistical analysis, and measurement to guide decision making.
  </li>
  <li>
   Contribute to product roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
  </li>
  <li>
   Build and maintain dashboards and recurring reporting to monitor lending health and business trends
  </li>
  <li>
   Partner with Product, Risk, Finance, Marketing, and Data teams to understand analytical needs and deliver timely insights
  </li>
  <li>
   Strong stakeholder management skills, with a record of working cross-functionally to achieve results
  </li>
  <li>
   Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  To Thrive In This Role, You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2&ndash;4 years of experience in data analytics, product analytics, financial analytics, or a related field
  </li>
  <li>
   Strong SQL skills and experience working with data visualization tools such as Looker or Tableau
  </li>
  <li>
   Working knowledge of Python or R for analysis (or strong interest in developing these skills)
  </li>
  <li>
   Familiarity with experimentation concepts, statistical analysis, and basic causal thinking
  </li>
  <li>
   Strong communication skills and the ability to collaborate effectively with cross-functional partners
  </li>
  <li>
   Curiosity, attention to detail, and a desire to learn and grow as an analyst
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Little About Us
  <br/>
  <br/>
 </strong>
 At Chime, we believe that everyone can achieve financial progress. We created Chime&mdash;a financial technology company, not a bank*&mdash;on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
 <br/>
 <br/>
 We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
 <br/>
 <br/>
 We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
 <br/>
 <br/>
 We know that to achieve our mission, we must earn and keep people's trust&mdash;so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall&mdash;our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
 <br/>
 <br/>
 Because if we don't&mdash;who will?
 <br/>
 <br/>
 <ul>
  <li>
   Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer For Our Full-time, Regular Employees
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you&rsquo;re coming in regularly or are part of our fully remote program, you&rsquo;ll stay engaged with your work and teammates.**
  </li>
  <li>
   💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute**
  </li>
  <li>
   💰 Competitive salary based on experience**
  </li>
  <li>
   ✨ 401k match** plus great medical, dental, vision, life, and disability benefits
  </li>
  <li>
   🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off**
  </li>
  <li>
   🫂 1% of your time off to support local community organizations of your choice
  </li>
  <li>
   👟 Annual wellness stipend to use towards eligible wellness related expenses
  </li>
  <li>
   👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  </li>
  <li>
   👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
  </li>
  <li>
   🎉 In-person and virtual events to connect with your fellow Chimers&mdash;think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!**
  </li>
  <li>
   💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress**
  </li>
  <li>
   Perks also available to Chime Interns.
   <br/>
   <br/>
  </li>
 </ul>
 We know that great work can&rsquo;t be done without a diverse team and inclusive environment. That&rsquo;s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
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 <br/>
 Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
 <br/>
 <br/>
 To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
</div>


Data Analyst, Lending

Plaud

<div>
 <strong>
  About Plaud Inc.
  <br/>
  <br/>
 </strong>
 Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.
 <br/>
 <br/>
 Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human&ndash;AI intelligence through a hardware&ndash;software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.
 <br/>
 <br/>
 To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube
 <br/>
 <br/>
 <strong>
  Why You Should Join Us
  <br/>
  <br/>
 </strong>
 Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
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 <br/>
 <ul>
  <li>
   Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
  </li>
  <li>
   Define the next-gen paradigm for human-AI interaction.
  </li>
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   Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
  </li>
  <li>
   Work with passionate teammates who value innovation, collaboration, and customer success.
  </li>
  <li>
   Grow your career in a culture that champions continuous learning and fast career development.
  </li>
  <li>
   Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Monitor and analyze key growth metrics across acquisition, activation, engagement, and retention.
  </li>
  <li>
   Build and maintain dashboards and reports that provide clear visibility into growth performance. Support the design, analysis, and validation of growth experiments and initiatives.
  </li>
  <li>
   Identify drivers behind metric changes, anomalies, or performance dips, and communicate insights clearly.
  </li>
  <li>
   Collaborate closely with cross-regional analytics stakeholders to align methodologies, share context, and ensure analytical consistency.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills, Qualifications And Experience We Look For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-5+ years of experience in data analytics, business analytics, or related roles within tech, AI, or product-driven companies.
  </li>
  <li>
   Bachelor&rsquo;s degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline.
  </li>
  <li>
   Strong technical foundation, including advanced SQL, dashboard design, metric design, experimentation analysis, and experience working with large, complex datasets.
  </li>
  <li>
   Execution-oriented mindset, with a willingness to get hands dirty, investigate issues end-to-end, and follow through from insight to validation.
  </li>
  <li>
   Clear communication and collaboration skills, with the ability to work effectively with cross-functional and cross-regional stakeholders.
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  </li>
 </ul>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud&rsquo;s long-term success.
  </li>
  <li>
   High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
  </li>
  <li>
   Comprehensive Health &amp; Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
  </li>
  <li>
   Time Off &amp; Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
  </li>
  <li>
   Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
  </li>
  <li>
   Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
  </li>
  <li>
   Team &amp; Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.
  </li>
 </ul>
</div>


Data Analyst, Growth - San Francisco

Plaid

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


Data Scientist - Fraud

Owner.com

<p></p><div><p><b>About </b><b>Owner.com</b></p><p>
Owner is the AI growth system for local restaurants.</p><p></p><p><br>
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts.</p><p></p><p><br>
Owner is like having an army of engineers and marketers on your side, just like the big chains.</p><p></p><p><b><br>
Our vision</b></p><p>
We&rsquo;re starting by helping independent restaurants succeed online.</p><p></p><p><br>
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.</p><p></p><p><br>
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type.</p><p></p><p><br>
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age.</p><p></p><p><br>
Read our Series C memo here</p><p></p><p><b><br>
Our traction</b></p><p>
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website.</p><p></p><p><br>
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees.</p><p></p><p><b><br>
Our team</b></p><p>
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe.</p><p></p><p><br>
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth.</p><p></p><p><b><br>
Where we work</b></p><p>
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location.</p><p></p><p><b><br>
Why we&rsquo;re looking for you</b></p><p>
We&rsquo;re building an effective, impactful Product Analytics function at Owner.com. As a Risk &amp; Payments Data Scientist, you will play a pivotal role in shaping the product roadmap through close collaboration with Product Managers to establish proper metrics and impact sizing. You will drive experimentation initiatives and manage the testing framework. You will be instrumental in designing and implementing KPIs for our payments product squad, identifying gaps and potential opportunities that will help grow the business. The best candidates will not just provide insights to the EPD (Engineering &amp; Product) org, but be a strategic driver, identifying gaps/opportunities in the money &amp; risk area, building internal alignment around them, and creating meaning business impact.</p><p>
We&rsquo;re migrating from Stripe Standard to Custom Connect / Adyen for Platforms, which means we&rsquo;ll own far more of the risk surface: merchant onboarding/underwriting, fraud detection, dispute mitigation, reserves, and payout risk. As a Risk Data Scientist you will be building the models, signals, and decisioning that protect our merchants and our P&amp;L&mdash;while keeping conversion high and friction low.</p><p></p><p><br>
For this particular role we are focused on candidates located in the San Francisco Bay Area. We are a remote-first company with a home base in SF, where our team comes together for periodic in-person collaboration (most local teammates opt to come in on Tuesdays/Thursdays). For more details chat with your recruiter!</p><p></p><p><b>
The impact you will have</b></p><p></p><ul><li><p>
Payments modeling:</p></li><li><p>
Cut losses without killing conversion: Ship ML models that reduce fraud/chargebacks and credit losses while maintaining checkout auth rates and onboarding pass-through.</p></li><li><p>
Accelerate safe growth: Create merchant risk scores and dynamic controls (e.g., reserves/holdbacks, payout delays) that scale to 10k+ restaurants.</p></li><li><p>
Give Ops superpowers: Build signals, alerts, and tools that let our Payments Ops / Risk Ops team review what matters&mdash;and automate the rest.</p></li><li><p>
Make risk measurable: Define loss budgets and risk SLIs/SLOs; deliver dashboards that make risk tradeoffs explicit.</p></li><li><p>
Build and maintain ML models for merchant underwriting, transaction fraud, chargeback propensity, payout risk.</p></li><li><p>
Design reusable frameworks for feature generation, model training, deployment, and monitoring so we can add new models quickly without reinventing the wheel.</p></li><li><p>
Payments analytics:</p></li><li><p>
Own analytics for payments, billing, and risk features, from user checkout experience to internal financial reporting.</p></li><li><p>
Monitor and improve critical KPIs such as payment success rate, failed payment recovery, fraud rates, chargeback volume, and revenue leakage. Set up monitoring for drift, stability, and business KPIs, with automated alerts.</p></li><li><p>
Identify and size revenue &amp; risk opportunities across the payments funnel (from checkout to Stripe to invoice collection).</p></li><li><p>
Partner with Product Managers on AB tests and experiments related to payments UX, fraud flags, or risk workflows.</p></li><li><p>
Collaborate with Engineering to instrument new product features and ensure great event tracking and data integrity in payment flows.</p></li><li><p>
Enhance product planning influencing product planning through informative impact sizing, enabling more strategic decision-making.</p></li><li><p>
Improve data Integrity and quality: Collaborate with developers on database design to strengthen data integrity and quality.</p></li><li><p>
Establish a Single Source of Truth (SSOT): Work alongside Data &amp; Analytics Engineers to implement robust models in DBT and Snowflake, and design dashboards that provide a unified view of business-critical data. Integrate third-party and processor signals (Stripe Radar, Adyen RevenueProtect, device/identity data) into our models.</p></li></ul><p></p><p><b>
Who you&rsquo;ll work with</b></p><p></p><ul><li><p>
Reporting Structure: This role reports directly to our VP, Business Operations, Jonathan Shenkman.</p></li><li><p>
Technical Collaboration: You will collaborate with Analytics Engineers on all technical aspects, including data modeling, data quality, and the use of tools like DBT and Snowflake.</p></li><li><p>
Work hand-in-glove with Payments Ops &amp; Risk Lead to encode policy into models, define review queues, and reduce manual workload.</p></li><li><p>
Collaborate with Payments PM/GM on onboarding UX, step-up flows, and dispute tooling; quantify conversion vs. loss tradeoffs with clear, dollarized impact.</p></li><li><p>
Provide merchant-level insights (watchlists, risk cohorts) and playbooks (what to hold, what to terminate, what to educate).</p></li></ul><p></p><p><b>
What we're looking for</b></p><p></p><ul><li><p>
4&ndash;8+ years in applied ML or risk data science (fintech/payments, marketplace, or anti-fraud).</p></li><li><p>
Hands-on with Python, SQL, and ML libraries/frameworks; comfortable with MLflow (or equivalent), and feature stores.</p></li><li><p>
Proven track record shipping production models that materially reduced losses or improved conversion; strong offline evaluation + online experimentation skills.</p></li><li><p>
Strong understanding of MLops and experience deploying MLops systems</p></li><li><p>
Experience deploying machine learning models to an api for realtime predictions</p></li><li><p>
Experience building systems for model observability after deployment</p></li><li><p>
Deep familiarity with payments/risk concepts: KYC/KYB, underwriting, auth vs capture, chargebacks, friendly fraud, card testing, reserves, payout returns, soft/hard declines.</p></li><li><p>
Strength in feature engineering on messy, imbalanced data; rigorous cost-sensitive evaluation (ROC/PR, cost curves, business impact).</p></li><li><p>
Excellent communicator who can turn model output into clear decisions and dollarized tradeoffs.</p></li><li><p>
Strong grasp of metrics design, experimentation, and product funnel analysis.</p></li><li><p>
Ability to handle ambiguity, deep dive into financial systems, and proactively flag problems before they escalate.</p></li><li><p>
KPI Development: A proven track record of developing KPIs and metrics tailored for product squads, particularly within a startup environment.</p></li><li><p>
Data Product Expertise: Ability to build comprehensive end-to-end data products.</p></li><li><p>
Organizational Skills: Highly organized with a keen eye for precision.</p></li><li><p>
Industry Experience: Prior experience in SaaS and/or startup environments is highly preferred. Experience in the restaurant industry is an added advantage.</p></li></ul><p></p><p><b>
Pay and benefits</b></p><p></p><ul><li><p>
The estimated base salary range for this role is $200k - $240k, plus a generous equity pre-IPO equity package</p></li><li><p>
Other benefits include comprehensive health coverage, unlimited PTO - plus extra fun perks!</p></li></ul><p></p><p><b>
Notice - Employment Scams</b></p><p>
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.</p><p>
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</p></div><p></p>

Staff Product Data Scientist, Risk and Payments

Jiffy.com

<div>
 Jiffy.com is looking for a Data Analyst to join our innovative team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to help drive strategic decisions across our operations. Your role will include evaluating data from various sources to provide actionable insights that enhance our ecommerce platform, customer experience, and overall business performance.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and organize data from different sources to prepare it for analysis
  </li>
  <li>
   Analyze datasets to identify trends, patterns, and insights that inform business strategies
  </li>
  <li>
   Create reports and dashboards to visualize key performance indicators for various teams
  </li>
  <li>
   Work collaboratively with cross-functional teams to understand their data needs and provide analytical support
  </li>
  <li>
   Develop and maintain documentation for data processes and procedures
  </li>
  <li>
   Assist in designing experiments and A/B tests to improve customer engagement and conversion rates
  </li>
  <li>
   Identify opportunities for process improvements based on insights derived from data analysis
   <br/>
   <br/>
  </li>
 </ul>
 This role follows a
 <strong>
  hybrid work model
 </strong>
 with a requirement of
 <strong>
  a minimum of three (3) days per week onsite
 </strong>
 . Employees should expect to work regularly from the office to support collaboration and business needs.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications &amp; Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field
  </li>
  <li>
   3-6+ years of experience in data analysis or a similar role, preferably in e-commerce or a related industry
  </li>
  <li>
   Proficiency in data analysis tools such as SQL, Excel, and data visualization software (e.g., Tableau, Power BI)
  </li>
  <li>
   Strong analytical skills with attention to detail and the ability to interpret and communicate complex data
  </li>
  <li>
   Good problem-solving skills and the ability to work with large datasets
  </li>
  <li>
   Strong written and verbal communication skills to present findings clearly to stakeholders
  </li>
  <li>
   Ability to work independently as well as in a team-oriented environment
  </li>
  <li>
   Familiarity with statistical analysis and data-driven decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency with advanced SQL (e.g., complex joins, window functions, query optimization)
  </li>
  <li>
   Experience with Python or R for data analysis, automation, or statistical modeling
  </li>
  <li>
   Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
  </li>
  <li>
   Experience building and maintaining dashboards and automated reports for business stakeholders
  </li>
  <li>
   Experience working with large-scale datasets and optimizing data workflows
  </li>
  <li>
   Understanding of key ecommerce metrics such as conversion rate, average order value (AOV), customer lifetime value (LTV), and retention
  </li>
  <li>
   Experience translating business questions into analytical frameworks and actionable insights
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You Will Love Working At Jiffy
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunity to grow company market share through innovation in the rapidly evolving e-commerce, AI, and image processing space
  </li>
  <li>
   Thrive in a collaborative, high-growth environment where your ideas directly influence how Jiffy evolves as a leading e-commerce destination
  </li>
  <li>
   High visibility and influence in solving complex problems and delivering cutting edge solutions resulting in direct impact on Jiffy's seamless customer experience
  </li>
  <li>
   Access to career development opportunities in a company that invests deeply in professional growth
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 The base compensation for this role is expected to range from
 <strong>
  $80,000 to $100,000
 </strong>
 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role.
 <br/>
 <br/>
 Total compensation may include base salary, performance-based bonuses, equity, and benefits. Final offers are tailored to each candidate and take into consideration their background and years of experience.
 <br/>
 <br/>
 <ul>
  <li>
   Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy
  </li>
  <li>
   Retirement Planning: 401(k)
  </li>
  <li>
   Wellness Support: Annual wellness benefits to help you stay healthy and balanced
  </li>
  <li>
   Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup
  </li>
  <li>
   Perks &amp; Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!
  </li>
  <li>
   Professional Development: Annual stipend to support your learning and career growth
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  EEO
  <br/>
  <br/>
 </strong>
 Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.
</div>


Data Analyst

Windfall

<div><div>Windfall is seeking a dedicated and enthusiastic Data &amp; AI Specialist to serve as the first point of contact for our Nonprofit customers who have questions about our solutions. In this role, you&rsquo;ll become an expert in Windfall&rsquo;s solutions and provide guidance and support to a wide array of organizations. We&rsquo;re seeking a resourceful problem-solver who thrives on finding answers, has incredible attention to detail and is motivated by seeing customers succeed.</div><div></div><div><br>
Our mission is to change how organizations perceive and use people data. We hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Contribute to the success of our nonprofit customers by providing impactful support and solutions to ensure they can achieve their fundraising goals using Windfall&rsquo;s solutions</li><li>
Respond to user inquiries promptly through phone, chat, and email</li><li>
Provide proactive guidance and best practices for event planning and fundraising efforts</li><li>
Collaborate with internal teams to report bugs, gather user feedback, and suggest feature improvements</li><li>
Maintain accurate and thorough records of all client interactions in Salesforce</li><li>
Proactively follow up with users to ensure their issues are resolved and their experiences are positive</li><li>
Perform focused research on US households to help validate our model and dataset</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Bachelors degree</li><li>
1-2 years of experience in a customer support role, ideally in the tech or nonprofit sectors</li><li>
Proven ability to adapt to shifting priorities and manage multiple tasks effectively</li><li>
Familiarity with Salesforce or similar CRM platforms</li><li>
Exceptional communication skills, both written and verbal</li><li>
Proven ability to analyze and resolve issues effectively</li><li>
A positive attitude and a genuine desire to help organizations succeed in their missions</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Previous experience working for a high growth startup</li></ul><div><b>
Additional Information:</b></div><div>
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site.</div><div></div><div><b><br>
California:</b> Base salary range is $55k - $65k + Bonus + Equity</div><div></div><div><b><br>
About Windfall</b></div><div>
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div><div></div><div><b><br>
We comply with CCPA. </b>For more information on how we comply, review our privacy notice.</div></div>

Data & AI Specialist

Qcells

<div><p><b>Description</b>
</p><h3 class="jobSectionHeader"><b>POSITION DESCRIPTION:</b></h3><br>
We are seeking an experienced Staff Data Scientist to join our Grid &amp; Energy Analytics team within G&amp;ES. In this role, you will lead the implementation of enterprise-grade microservices that support the real-time optimization and simulation of diverse energy assets participating in U.S. wholesale electricity markets including CAISO, ERCOT, NYISO, ISO-NE, and PJM.<br>
<br>
This position will be preferably based out of our Santa Clara, San Francisco, Houston, or Seattle, or Atlanta offices.<h3 class="jobSectionHeader"><b>
RESPONSIBILITIES</b></h3><ul><li>
Work closely with Technical Lead to improve microservices including optimization, simulation, and market emulation.</li><li>
Drive microservice benchmarking, develop operations metrics, and continuously improve system performance using data-driven insights.</li><li>
Own significant software components, including documentation and testing suites, training junior engineers where appropriate.</li><li>
Contribute to the next-generation merchant optimization platform, advising on architectural choices, design &amp; implementation.
</li><li>Support the Product Manager and Technical Leads in interpreting market requirements into technical solutions, managing work scope, and ensuring timely delivery.</li><li>
Serve as a subject matter expert for at least one U.S. ISO/RTO, and mentor engineering team on compliance, settlement, and operational nuances.</li><li>
Provide Level 3 support for production issues and actively contribute to operational robustness and scalability.</li></ul><h3 class="jobSectionHeader"><b>
REQUIRED QUALIFICATIONS</b><br>
</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, Energy Systems, or related field.</li><li>
7+ years of software development experience, ideally in energy, renewables, or grid-tech sectors.</li><li>
Proven experience delivering production-grade software for DERs, energy storage, or grid market participation.</li><li>
Strong foundation in wholesale market operations and optimization techniques.</li><li>
Proficiency in Python, Kubernetes, microservices architecture, and working with cloud-native deployments.</li><li>
Exceptional collaboration and communication skills, with the ability to lead cross-functional initiatives in fast-paced environments.</li><li>
Experience interacting with real-time systems, equipment-level controls, or forecasting models for energy assets.</li><li>
Travel may be required up to 10%, based on business needs.</li></ul><h3 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h3><ul><li>
Ph.D. in Operations Research, Engineering, Energy Systems, or related field.</li><li>
Deep knowledge of ISO/RTO market participation frameworks, especially CAISO, ERCOT, NYISO, ISO-NE, and PJM.</li><li>
Hands-on experience with Azure cloud stack, including deployment pipelines and monitoring tools.</li><li>
Experience in CI/CD pipelines, version control (Git), and modern testing frameworks.</li><li>
Experience using Julia for optimization problem formulation.</li></ul><br>
<br>
Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world&acute;s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology &amp; Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.<br>
<br>
<div><div><div><br>
<b>PHYSICAL, MENTAL &amp; ENVIRONMENTAL DEMANDS:</b><br>
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements <i>normally expected</i> to perform <i>regular</i> job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.</div></div><div><div><div><div><b><br>
Mobility</b></div></div><br>
<div><div><br>
Standing</div><div><br>
20% of time</div></div><br>
<div><div><br>
Sitting</div><div><br>
70% of time</div></div><br>
<div><div><br>
Walking</div><div><br>
10% of time</div></div><br>
<div><div><br>
<b>
Strength</b></div></div><br>
<div><div><br>
Pulling</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Pushing</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Carrying</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Lifting</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
<b>
Dexterity</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Typing</div><div><br>
F</div></div><br>
<div><div><br>
Handling</div><div><br>
F</div></div><br>
<div><div><br>
Reaching</div><div><br>
F</div></div></div><div><div><div><b><br>
Agility</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Turning</div><div><br>
F</div></div><br>
<div><div><br>
Twisting</div><div><br>
F</div></div><br>
<div><div><br>
Bending</div><div><br>
O</div></div><br>
<div><div><br>
Crouching</div><div><br>
O</div></div><br>
<div><div><br>
Balancing</div><div><br>
N</div></div><br>
<div><div><br>
Climbing</div><div><br>
N</div></div><br>
<div><div><br>
Crawling</div><div><br>
N</div></div><br>
<div><div><br>
Kneeling</div><div><br>
N</div></div></div></div></div><div></div><p><br>
The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job&rsquo;s minimum qualifications.</p>
<ul><li>This target salary range is for CA positions only and should not be interpreted as an offer of compensation.</li></ul>
You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.</div>

Staff Data Scientist

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