Full-Stack Data Scientist - Supply & Core

Bounce

💙 ABOUT BOUNCE... Bounce is building cloud storage for the physical world, starting with the largest global luggage storage network in existence. Bounce’s marketplace connects travelers with 30,000+ small business locations worldwide for hyper-local short term baggage storage. With more locations globally than Burger King, and more locations in New York City than Starbucks, Bounce has served 3M+ users and stored 10M+ bags, and paid over $10M to small business partners. To achieve this, Bounce is a fast-paced and scrappy team. We believe that experimentation fuels innovation, so we move quickly, testing new ideas and adapting in real time. If you’re ready to make an impact in a high-energy, close-knit, and collaborative environment - Bounce is the place where you can move fast, think big, and shape the future of travel. Join us as we make the world a lighter, more accessible place! Bounce has been named the Inc5000’s fastest-growing travel company in the USA in 2024 and is proudly backed by leading Silicon Valley investors, including Andreessen Horowitz, General Catalyst, and Sapphire. (Learn more about Bounce's Series B HERE and also learn about our Japan Expansion HERE)   ABOUT THE ROLE… Decisions are at the foundation of every Bounce experience. As a Data Scientist on the Pricing team you will work in a dynamic environment, embracing moving quickly to ensure data is at the heart of how Bounce prices its marketplace — for travelers, for partners, and for the long-term health of both sides. You will own the models behind how Bounce decides what to charge in every market, at every POI, at every store, and at every search. You'll work across Product, Supply, and Growth to manage two-sided incentives, contribution margins, and promotions, balancing short-term conversion against partner economics and lifetime value.   WHERE YOU COME IN… * Partner with cross functional teams and respective stakeholders to translate analytical insights into action * Leverage data to track key operational metrics in dashboards, develop strategy, and forecast performance * Help develop and maintain our analytics pipelines * Advocate for data and data-driven decisions * Improve our Data-Focused Agentic Layer to make operational insights self-serve for field and ops teams * Be an owner, taking a personal stake in the success of the product and the team * Define the base price for each market, POI, and store — using demand, competition, partner economics, and willingness-to-pay signals — and build the framework that lets us update it as conditions change * Design and ship dynamic pricing logic that adjusts price by time of day, day of week, seasonality, occupancy, and local demand * Build the search pricing algorithms that decide which stores to rank and at what price, balancing conversion, contribution margin, and supply fairness * Manage the two-sided pricing equation — what travelers pay, what partners earn, and the take rate in between — and model the impact of changes on both sides * Optimize for contribution margin, not just GMV: understand the unit economics of each reservation and design pricing that compounds margin over time * Design and measure promotions, discounts, and incentives for both buyers and sellers, including launch promos, loyalty offers, and partner-side bonuses — with clean read-outs on incrementality * Run causal experiments on pricing changes (geo holdouts, switchbacks, A/B where feasible) and translate the results into rollout decisions   YOUR PROFILE… * Degree in a quantitative field such as statistics, economics, math or engineering, or relevant work experience * Experience with data visualization and orchestration tools such as Amplitude, Tableau, Hex, Airflow * Comfortable around data warehousing concepts, big data technologies, and analytics platforms * Knowledge of Agentic Tooling: Claude, Jules or Codex are a must * Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners * Avid learner and practical problem solver * Professional proficiency in English, written and spoken * 2+ years of hands-on experience working on pricing, revenue management, or marketplace incentives at a consumer marketplace, travel/hospitality, ride-share, or e-commerce company * Strong intuition for price elasticity, willingness-to-pay, and demand modeling — and the methods to estimate them (regression, ML-based demand models, structural models, or experimentation-based approaches) * Experience designing dynamic pricing or ranking systems in production, ideally with feedback loops between pricing, search, and supply * Comfortable with causal inference techniques appropriate for pricing — geo experiments, switchbacks, synthetic control, diff-in-diff — and aware of when simple A/B tests are not enough * Can reason cleanly about two-sided marketplace incentives: how a price change affects conversion, partner earnings, take rate, and the long-term equilibrium of supply and demand * Comfortable working with contribution margin and unit economics as a first-class objective, not just top-line metrics

Bounce

💙 ABOUT BOUNCE... Bounce is building cloud storage for the physical world, starting with the largest global luggage storage network in existence. Bounce’s marketplace connects travelers with 30,000+ small business locations worldwide for hyper-local short term baggage storage. With more locations globally than Burger King, and more locations in New York City than Starbucks, Bounce has served 3M+ users and stored 10M+ bags, and paid over $10M to small business partners. To achieve this, Bounce is a fast-paced and scrappy team. We believe that experimentation fuels innovation, so we move quickly, testing new ideas and adapting in real time. If you’re ready to make an impact in a high-energy, close-knit, and collaborative environment - Bounce is the place where you can move fast, think big, and shape the future of travel. Join us as we make the world a lighter, more accessible place! Bounce has been named the Inc5000’s fastest-growing travel company in the USA in 2024 and is proudly backed by leading Silicon Valley investors, including Andreessen Horowitz, General Catalyst, and Sapphire. (Learn more about Bounce's Series B HERE and also learn about our Japan Expansion HERE) ABOUT THE ROLE… Every booking on Bounce starts with demand — a traveler discovering us, converting, and coming back. As a Senior Full Stack Data Scientist on the Growth & Demand pillar, you will own the data behind how we acquire, convert, and retain customers. You'll work shoulder-to-shoulder with our Growth org — the Acquisition Pod, the Conversion Pod, and lifecycle/CRM — turning marketing spend and funnel behavior into models, experiments, and decisions that move the top line. This is a high-leverage role for someone who is equal parts scientist and builder: you'll write the attribution models that tell us which channels actually work, build the A/B testing tooling our product teams rely on, and advocate relentlessly for data-driven decisions across the growth organization. You will play a critical role in the success of Bounce! WHERE YOU COME IN… * Partner with the Growth org (Acquisition, Conversion, and lifecycle/CRM) to translate analytical insights into action * Model customer acquisition paths and build sophisticated, multi-touch attribution models to optimize marketing ROI across paid, SEO, affiliate, and influencer channels * Build and own the A/B testing tooling and the underlying experimentation data layer that product teams depend on for funnel and checkout optimization * Develop customer segmentation and personalization frameworks that power lifecycle messaging and CRM journeys * Track and forecast demand-side KPIs — CAC, LTV, conversion rate, retention — in self-serve dashboards * Build pricing intelligence algorithms that enhance profitability and explore data monetization opportunities * Help develop and maintain the analytics pipelines that feed growth reporting * Improve our Data-Focused Agentic Layer to make demand insights accessible across the company * Advocate for data and data-driven decisions across the growth organization * Be an owner, taking a personal stake in the success of the product and the team YOUR PROFILE… * Degree in a quantitative field such as statistics, economics, math or engineering, or relevant work experience * 5+ years of industry experience in Data Science or similar * Strong track record with marketing/growth analytics: attribution modelling, experimentation design (A/B testing), customer segmentation, or LTV/CAC modelling * Experience with data visualization and orchestration tools such as Amplitude, Tableau, Hex, Airflow * Comfortable around data warehousing concepts, big data technologies, and analytics platforms * Knowledge of Agentic Tooling: Claude, Jules or Codex are a must * Strong oral and written communication skills, and the ability to collaborate with and influence cross-functional partners * Avid learner and practical problem solver * Professional proficiency in English, written and spoken

Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE We’re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on logs and logs analytics capabilities. With your knowledge and understanding of the Observability domain, you'll help ensure that we give our customers the best end to end full stack Observability experience for logs we collect from the applications and infrastructure we monitor. This role significantly impacts the success of our Observability product! WHAT YOU WILL BE DOING * Evolving our logs analytics capabilities, aligning at every step with organizational and company strategy. * Advancing and influencing the entire end-to-end lifecycle for logs collection, ingest, and management * Building features that cater to the modern SRE. From integrating GenAI and Agentic workflows into the logging experience, automated SLO/SLI tracking from logs, intelligent alerting, correlating logs, metrics, and traces, and beyond. * Working closely across teams, collaborating with Engineering, UX, Design and other teams to bring top notch application monitoring experiences to our users. * Working with our Sales & Marketing teams on go-to-market, messaging, competitive analysis, enablement, and feature adoption. * Tracking user engagement and feedback to inform product and feature evolution. WHAT YOU BRING  * Ideally 3+ years in product management or closely related area * Technical experience in logs analytics * Observability and/or performance monitoring domain knowledge * Comfort working with and converting abstract problems into concrete, prioritized solutions, working from the customer backwards * Outstanding spoken and written communication skills * Passion for industry trends, competitive landscape * Experience working in remote, globally distributed work environment is optional but desired * Knowledge of AI is optional but desired Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €55.800—€88.300 EUR ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. 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