Title: Staff Data Scientist, Ecosystem Health Location: Palo Alto; Chicago; Los Angeles Department: Engineering Employment Type Full time Compensation - Bay Area Base Pay Range$180K – $240K • Offers Equity • Offers Bonus - Chicago Base Pay Range$140K – $195K • Offers Equity • Offers Bonus This role will also be eligible for equity, benefits, and a company bonus program. Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands. The base pay range is subject to change and may be modified in the future. Job Description: About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. As a Staff Data Scientist (Ecosystem Health) at Grindr, you’ll partner closely with product managers, designers, and engineers to define meaningful metrics, design and analyze experiments, and uncover insights that inform product development for the Ecosystem Health initiatives. Our Ecosystem Health Team focuses on increasing real-people retention by building a safer, more authentic community through proactive harm prevention, strong identity trust, and empowering users to own their safety experience, while seamlessly meeting evolving regulatory expectations. This is a high-impact role at the intersection of AI/ML, fraud prevention, risk management, and trust & safety, driving strategies and product innovation that ensure authenticity, reduce harmful behavior, and build user confidence worldwide. This role is ideal for someone who is technically strong, curious, and eager to deepen their product thinking and analytical leadership. You’ll be a valued member of Grindr’s centralized Data organization, which brings together data scientists, data engineers, and ML/AI engineers into a collaborative team. You’ll have the opportunity to grow your impact while learning from peers across disciplines. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area or Chicago offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Define and track key product metrics in collaboration with cross-functional partners - Design, run, and analyze A/B tests to evaluate the impact of new features - Perform data deep dives to explain trends and uncover actionable insights - Communicate findings clearly to stakeholders and influence product decisions - Build dashboards and tools to help teams monitor metrics and make data-informed decisions - Contribute to the development of best practices within the Data Science team - Explore and prototype ML applications to improve product quality (e.g., recommendations, spam detection) Role Requirements: - BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience - 6+ years of industry data science experience, specifically in Trust & Safety or similar work - Strong communication skills and comfort working with cross-functional partners - Proficiency in Python for data analysis (e.g., pandas, Jupyter) - Strong SQL skills and experience working with large-scale data - Solid foundation in statistics and experimental design - Familiarity with BI tools like Looker, Tableau, or PowerBI - Some exposure to big data tools like Spark is a plus You May Thrive in this Role if You: - Exposure to machine learning, especially practical tradeoffs in product settings - Experience with experimentation platforms like Statsig - Clear communication style and interest in mentoring peers or sharing best practices Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our nonprofit that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us!

Title: Data Scientist Location: Kansas City, MO, Columbia, MO, and St. Louis, MO Job Description: Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship. We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions. Essential Duties and Responsibilities (Other duties may be assigned) - Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns - Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments - Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference - Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization - Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations - Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time - Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives - Stay current with emerging techniques in data science, machine learning, and marketing analytics Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - 3+ years of professional experience applying statistical methods and machine learning to business problems - Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis - Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods) - Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels - Experience with SQL and working with large-scale databases - Proven ability to design and analyze A/B tests and controlled experiments - Track record of translating complex analytical insights into clear, actionable business recommendations - Strong communication skills with the ability to present technical concepts to non-technical audiences Preferred Qualifications: - Experience working with advertising agencies, marketing teams, or in the ad tech industry - Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms) - Familiarity with marketing attribution models and multi-touch attribution methods - Experience with cloud computing platforms (AWS, GCP, or Azure) - Knowledge of causal inference methods and their application to marketing effectiveness - Experience with customer data platforms (CDPs) and marketing automation tools Education - Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field Total Perks Package - The chance to be a part of a growing company and the next success story - Amazing opportunities for career development - Recognition programs - Employee referral bonus - Hybrid work schedule; 3 days in the office, 2 days working from home - Fun and collaborative work environment - Casual dress code - Insurance Coverage (medical, dental, vision, life, and disability) - 401(k) retirement plan, with employer 4% match - Work/life benefits, including mental health and wellbeing support - Flexible Time Off Policy - Paid holidays, including agency soft closing Christmas Eve-New Year's Day - Paid leave options, including sick leave, medical leave for self and family, and parental leave

• Support the management and organization of the squad's activities and the product backlog • Track requests, update status, and ensure smooth delivery flow • Work closely with Development and Architecture teams to identify blockers and support their resolution • Participate in agile ceremonies and rituals, promoting alignment across involved areas • Gather, organize, and document relevant information for product evolution • Ensure product documentation is up to date and accessible to teams • Communicate initiative progress, share information, and collect stakeholder feedback • Support backlog prioritization and maintenance, removing obsolete items and aligning requests with business value • Analyze customer and user feedback to identify improvement opportunities • Monitor product indicators and metrics, supporting quantitative and qualitative analyses for decision-making • Contribute to continuous improvement initiatives for processes, products, and user experience

• We are looking for a Product Manager to build and evolve NDD’s financial vertical, focusing on solutions related to a Payment Institution (PI). • The person will be responsible for leading the strategy and evolution of financial products. • Connect customer needs, business vision, regulatory requirements and technical capabilities. • Lead discovery and delivery of financial products and digital solutions. • Define and structure the vision, strategy and roadmap for the financial vertical’s products. • Translate business objectives into prioritized, value-driven initiatives. • Map market opportunities, competitors and trends in the financial sector. • Work closely with multidisciplinary teams (technology, UX, compliance, operations and commercial). • Define and track product metrics and performance indicators. • Support the development of the financial vertical’s value proposition. • Ensure alignment between regulatory requirements and product evolution. • Facilitate ceremonies, refinements and strategic alignments with stakeholders. • Participate in the preparation of business cases and feasibility analyses. • Support decisions related to integrations, financial partners and the payments ecosystem.