• Dataset creation & curation • Build high-quality labeled datasets from operational data sources including structured databases, event logs, sensor streams, and document repositories • Define feature engineering strategies for time-series, event-based, and unstructured data • Predictive model development • Build, validate, and maintain predictive models (e.g. anomaly detection, classification, forecasting) that serve as callable tools within agentic AI systems • Apply rigorous statistical methods: hypothesis testing, cross-validation, and confidence interval estimation to ensure model outputs are trustworthy when surfaced by an agent • Agent data interfaces & RAG grounding • Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products • Build evaluation frameworks to measure retrieval quality and factual accuracy against domain-specific ground-truth datasets. • Experimentation & statistical rigor • Apply relevant causal inference techniques (e.g. synthetic controls, difference-in-difference) to isolate causal effects in operational environments • Serve as the statistical conscience of the AI team: design measurement frameworks before shipping, and build internal culture around responsible AI performance claims • Cross-functional enablement • Collaborate with product managers to translate domain use cases into well-formed ML problem statements • Work with AI engineers and data platform teams to align on feature store standards and machine learning best practices that support reliable agent tool integration.

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. The Opportunity: Grow Therapy is seeking a Staff Data Scientist to deepen our understanding of our users and unlock the next era of our growth trajectory. In this role, you will lead cross-functional, data-driven initiatives and drive insights that get more people successfully onboarded and retained in online therapy, shape how we build our mobile app and digital experiences, and lead the charge on how AI is used alongside therapy. You will also develop and own marketing and attribution models that help us reach patients more effectively and empower our providers’ success. Your work will shape product strategy, experimentation, and long-term investment decisions across the company. What You’ll Be Doing: - Lead experimentation and metric development to understand user behavior, optimize onboarding and retention, and guide product direction across web and mobile experiences. - Build predictive, attribution, and behavioral models that inform marketing strategy, therapist-matching workflows, and future AI-powered features. - Partner closely with Product, Engineering, Design, and Operations to identify opportunities, quantify impact, and drive roadmap decisions with clear, actionable insights. - Develop dashboards, analytical frameworks, and self-serve tools that scale data access and empower teams to answer their own product questions. - Shape Grow Therapy’s AI strategy by designing evaluation frameworks, running model-level experiments, and identifying where AI can improve the patient and provider experience. You’ll Be a Good Fit If: - 8+ years of experience in a quantitative role applying analytics, experimentation, and modeling in a product-focused environment, including leading high-impact, cross-functional data science or analytics initiatives. - Fluent in SQL and Python, with deep experience designing A/B tests, building models, and setting a high bar for translating complex data into clear recommendations for stakeholders at all levels. - Proven experience owning and driving product or growth decisions through deep user understanding, funnel analytics, or marketplace dynamics, and doing so through influence as well as hands-on work. - Comfortable navigating ambiguity and working cross-functionally in fast-moving environments where data science directly influences strategy, and aligning multiple teams around shared metrics and insights. - Excited about improving access to mental health care and motivated by building AI-enhanced experiences that support therapists and patients. Role Details: Employment Type: Full Time, Exempt Base Compensation: The base compensation range for this position is: - Hybrid Commitment: $200,000–$250,000 USD USD Annually This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department off-sites). Full Time Employee Benefits: - Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage. - Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend. - Financial Wellness: 401(k) program and equity opportunities. - Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees. - Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week. - Wellness & Development: Annual stipends to put towards personal & professional growth. - Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace). - Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance. Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings. Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool, Gem, to assist in the initial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with California FEHA regulations on automated decision systems and New York Local Law 144 can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at talentops@growtherapy.com. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. The Opportunity:Grow Therapy is seeking a Senior/Staff Data Scientist to deepen our understanding of our users and unlock the next era of our growth trajectory. In this role, you will drive insights that get more people successfully onboarded and retained in online therapy, shape how we build our mobile app and digital experiences, and lead the charge on how AI is used alongside therapy. You will also develop marketing and attribution models that help us reach patients more effectively and empower our providers’ success. Your work will directly influence product strategy, experimentation, and long-term investment decisions across the company. What You’ll Be Doing: - Lead experimentation and metric development to understand user behavior, optimize onboarding and retention, and guide product direction across web and mobile experiences. - Build predictive, attribution, and behavioral models that inform marketing strategy, therapist-matching workflows, and future AI-powered features. - Partner closely with Product, Engineering, Design, and Operations to identify opportunities, quantify impact, and drive roadmap decisions with clear, actionable insights. - Develop dashboards, analytical frameworks, and self-serve tools that scale data access and empower teams to answer their own product questions. - Shape Grow Therapy’s AI strategy by designing evaluation frameworks, running model-level experiments, and identifying where AI can improve the patient and provider experience. You’ll Be a Good Fit If: - 5+ years of experience in a quantitative role applying analytics, experimentation, and modeling in a product-focused environment. - Fluent in SQL and Python, with experience designing A/B tests, building models, and translating complex data into clear recommendations. Experience driving product or growth decisions through deep user understanding, funnel analytics, or marketplace dynamics. - Comfort navigating ambiguity and working cross-functionally in fast-moving environments where data science directly influences strategy. - Excited about improving access to mental health care and motivated by building AI-enhanced experiences that support therapists and patients. Role Details: Employment Type: Full Time, Exempt Base Compensation: The base compensation range for this position is: - Hybrid Commitment: $182,000–$228,000 USD USD Annually This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department off-sites). Full Time Employee Benefits: - Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage. - Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend. - Financial Wellness: 401(k) program and equity opportunities. - Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees. - Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week. - Wellness & Development: Annual stipends to put towards personal & professional growth. - Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace). - Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance. Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings. Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool, Gem, to assist in the initial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with California FEHA regulations on automated decision systems and New York Local Law 144 can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at talentops@growtherapy.com. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.

Ibotta is seeking a Principal Data Scientist, Marketing Analytics to serve as a strategic technical leader and the highest level of individual contributor within our data science organization. You'll drive business-critical initiatives while establishing technical standards that elevate our entire organization's capabilities, operating at a seniority level comparable to Director, and carrying additional emphasis on deep technical expertise and problem-solving. A core focus will be enhancing and partnering to evolve Ibotta's productized measurement solutions that demonstrate how we drive incremental sales for brand partners at scale. You'll collaborate across teams to understand edge cases, design and validate innovation and experiments, and ensure our measurement products maintain the rigor required of industry leading organizations. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What You Will Be Doing: - Help lead the continued evolution of Ibotta's measurement methodology through exploration of cutting-edge measurement research and experimental design. - Collaborate as the go-to troubleshooter for measurement anomalies—exploring outlier results, diagnosing data quality issues, and validating statistical assumptions across alpha, beta, and production measurement systems - Lead code reviews and architecture discussions, providing expert guidance on design patterns, scalability, and technical trade-offs. Foster a culture of code quality, rigorous measurement, and collaborative problem-solving - Evaluate and adopt new tools, explore frameworks and innovative model forms that enhance team effectiveness, while maintaining code quality standards - Lead enterprise-wide data science initiatives spanning 6+ months with measurable business impact across multiple teams and KRs. - Build trusted partnerships with C-suite executives, product managers, and data science leaders to translate business problems into technical solutions while delivering with consistency and transparency. - Present complex technical concepts clearly to both technical and non-technical audiences, including executive leadership. Deliver high impact presentations on key initiatives and research, with easily understood visualizations, to drive insight and adoption. - Mentor more junior data scientists through technical guidance, code reviews, and strategic coaching - Create technical training programs and documentation that elevate organizational data science maturity Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What We Are Looking For: - 10+ years of professional experience in data science, machine learning, or advanced analytics with demonstrated transformational impact - Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative field required; Master's or Ph.D. strongly preferred - Experience in performance marketing, retail media, e-commerce, or CPG analytics environments strongly preferred - Expert-level SQL and Python with demonstrated ability to write clean, maintainable, well-tested production-grade code. Experience with distributed computing (Spark, PySpark) and cloud platforms (AWS, GCP, Azure) is a requirement. - Strong software engineering practices: version control (Git), CI/CD, unit testing, code review, design patterns - Advanced ML frameworks and techniques (time series, ensemble methods) and MLOps practices (model deployment, monitoring, feature engineering) strongly preferred. - Deep expertise in experimental methods like RCTs and AB testing at scale, along with quasi-experimental designs: difference-in-differences, propensity score matching, regression discontinuity, and similar modalities. - Deep understanding of performance marketing metrics (ROAS, incrementality, new-to-brand acquisition)​, and ability to quantify and communicate business impact. About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. Additional Details: - This position includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $180,000 - $238,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Remote #BI-Remote #BI-Hybrid