Data Scientist, Growth

About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! NOTE: this position can be remote anywhere within the United States. ClickHouse is looking for our first Data Scientist to build marketing attribution infrastructure and drive product-led growth through data insights. In this role, you'll be the expert on how marketing campaigns influence product signups and revenue, while owning analytics across our entire self-serve funnel. You'll establish attribution frameworks, analyze experiments, and connect marketing investments to growth outcomes. As our first data scientist dedicated to Growth and Product Analytics, you'll also support broader marketing analytics needs across the organization. We're looking for someone who thrives on measurement and experimentation. You'll have the opportunity to build attribution systems from the ground up and shape how we understand marketing's impact on product growth alongside a passionate community of ClickHouse users. What you will do: Build and own multi-touch attribution models that connect marketing campaigns, channels, and touch points to product signups, trial starts, and pipeline Partner with marketing to analyze campaign performance across paid, organic, and community channels—measuring impact on signup volume, user quality, and conversion rates. Establish marketing data pipelines and ensure clean, standardized tracking across web analytics, marketing platforms, and product data. Design, analyze, and interpret A/B tests across the website and product to optimize conversion rates at each funnel stage. Own analytics for the product-led growth funnel: website conversion, signup flows, onboarding, and activation metrics. Support broader marketing analytics needs including content performance, event impact, webinar analysis, and demand generation reporting. Develop and standardize growth and marketing KPIs alongside leadership. Build and maintain a data dictionary for marketing attribution, growth, and product metrics. Create dashboards and reports that track conversion rates, feature adoption, and user behavior. Proactively identify friction points and recommend data-driven experiments to improve performance. Present insights and recommendations to marketing, growth, and leadership teams in a clear, actionable format. Requirements: Minimum of 5+ years of experience in a Growth Analyst, Data Scientist, or Marketing Analyst role with deep attribution expertise and experience building models. Expert-level SQL skills. Comfortable querying large datasets, building attribution models, and creating funnel analyses. Experience with ClickHouse or similar columnar databases is ideal. Strong experience with Google Analytics and UTM tracking frameworks. Strong experience with marketing attribution methodologies (first-touch, last-touch, multi-touch, data-driven attribution) and tools. Proficiency in Python for statistical analysis, attribution modeling, and data automation. Deep understanding of experimental design, A/B testing methodologies, and statistical significance testing. Skilled in dashboard creation and data visualization with tools like Superset or Preset. Experience working with marketing campaign platforms, customer segmentation, and CRM data. Strong communication skills with the ability to translate technical findings into clear business insights. #LI-Remote The typical starting salary for this role in the US is $175,000—$230,000 USD The typical starting salary for this role in US Premium Markets is $190,000—$250,000 USD Compensation For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com. Perks Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. Healthcare - Employer contributions towards your healthcare. Equity in the company - Every new team member who joins our company receives stock options. Time off - Flexible time off in the US, generous entitlement in other countries. A $500 Home office setup if you’re a remote employee. Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here for our Privacy Statement.