Data Scientist I

Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use. Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows. About the Role: You’ll help Fetch run on rigorous performance standards and scalable self-service analytics. You’ll help deliver our core company KPI framework, including its underlying model, while leading reusable, company-wide analytical frameworks and automation. The work centers on trusted metrics: standardizing how impact is measured and connecting product and business drivers to outcomes like MAU, retention, ARPU, revenue, and margin. You’ll validate forecasts and communicate sensitivity and uncertainty, so evidence turns into planning and operating decisions. You’ll own defined KPIs, modeling, or measurement workstreams through delivery and adoption, make actionable recommendations, and translate company goals into workstream targets. You’ll work with cross-functional partners to build reproducible diagnostics and analytical tools, and document and share reusable methods with the team. What You’ll Do at Fetch:

• Independently own a company wide KPI, modeling, or measurement workstream through delivery and adoption
• Contribute to our core company KPI framework, including its driver tree and sensitivity model
• Contribute analysis to planning and points allocation
• Define certified metrics and resolve conflicting definitions with partners
• Build KPI trees and decompositions that connect product and business drivers to MAU, retention, ARPU, revenue, and margin
• Model KPI drivers and quantify the direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships
• Distinguish arithmetic identities, predictive associations, and causal effects
• Build scenarios and translate company goals into workstream targets
• Apply established observational causal methods with diagnostics and robustness checks, making identification assumptions explicit
• Build reproducible diagnostics and analytical tools grounded in certified data
• Evaluate the accuracy, adoption, and sustained value of what you build
• Build reproducible, tested analytical workflows in SQL and Python
• Partner with Data Engineering on gold tables, data marts, and semantic layers
• Partner with cross-functionally with teams such as Product and Engineering to drive adoption
• Make actionable recommendations and communicate sensitivity, assumptions, and uncertainty clearly, Analyze malware, binary files, customer detection tickets, and machine learning detections to improve detection efficacy and reduce false positives. Review product detections, assess binary legitimacy, address internal detection questions, and provide insights to data science teams. The role collaborates with technical account managers, incident response teams, data scientists, and malware researchers. Required capabilities include malware analysis, reverse engineering, Python scripting, binary fundamentals, threat assessment, research methods, operating systems, and AI-assisted workflow improvement.

• 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
• Experience working with multiple stakeholders to define KPIs and their hierarchy
• Ability to structure a complex space into a tackle-able project plan
• Track record of establishing trusted metric definitions and driving adoption across Product, Finance, Commercial, and Engineering
• Experience building and validating models that connect user behavior and business drivers to retention, monetization, or company outcomes
• Ability to show sensitivity estimates, leading indicators, time horizons, and out-of-sample predictive performance
• Experience using models in target setting or scenario planning while distinguishing prediction from causal impact
• Experience with ML modeling, including regression, causal inference methodology, and graph models
• Experience modeling multi-metric relationships
• Strong skills in SQL, Python, statistics, causal inference, and forecasting
• Track record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with evidence of accuracy, adoption, and decision impact
• Experience building robust SQL/Python analytical assets and partnering on productionization
• Track record of documenting and sharing reusable methods
• Understanding of experimentation methodology sufficient to identify patterns, concerns, and frameworks that support product data scientists, * Consumer product analytics experience connecting acquisition, activation, engagement, retention, and monetization
• Experience owning KPI frameworks, causal measurement, or business planning
• Experience in centralized or platform data science
• Experience with experimentation platforms
• Experience with governed self-service analytics

This is a full-time role that can be held from one of our US offices or remotely in the United States.

Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $159,945 - $188,171. Discover our benefits and how our employees live rewarded at https://fetch.com/careers. At Fetch, we’ll give you the tools to feel healthy, happy and secure through:

• Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
• 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
• Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
• Continuing Education: Fetch provides ten thousand per year in education reimbursement.
• Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
• Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
• Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
• Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more!
• Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at [email protected]., 92K-153K Annually Mid level 92K-153K Annually Mid level Marketing Tech * Social Media * Software * Analytics * Business Intelligence Manage a book of ~60 enterprise customers to drive adoption, retention, and expansion of Sprout’s social media platform. Build executive relationships, run success cadences (MBRs, EBRs), surface risks, collaborate on renewals, and use data and generative AI tools to create ROI narratives and accelerate work. Partner with onboarding, professional services, and renewals to meet retention and growth KPIs. Top Skills: ClaudeGoogle SuiteGainsightGeminiSalesforceSprout SocialTableau CrowdStrike, Remote or Hybrid Massachusetts, USA 106K-120K Annually Senior level 106K-120K Annually Senior level Cloud * Fintech * Information Technology * Machine Learning * Software Own a field-based territory and drive net-new business with accounting and bookkeeping partners. Develop migration strategies, increase Xero adoption and revenue, manage appointments, recruit and educate partners, deliver events and certification training, and maintain accurate Salesforce data for forecasting. The role requires strong account management, sales-target achievement, relationship-building, communication, presentation, and independent territory-management skills. Top Skills: CRMSalesforceXero Platform

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Own company-wide KPI, modeling, and measurement workstreams; develop trusted metrics, KPI trees, forecasts, causal analyses, scenarios, and diagnostic tools. Partner with Data Engineering, Product, Engineering, Finance, and Commercial teams to connect business drivers to retention, monetization, revenue, and margin. Build reproducible SQL and Python workflows, communicate uncertainty and assumptions, and drive adoption of analytical frameworks and recommendations. The summary above was generated by AI What we’re building and why we’re building it. Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users. Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers. The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base. It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Meet Fetch AI & Data AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.