Senior Data Scientist

Senior Data Scientist Apify is built in Prague, but clients come from around the world https://twitter.com/apify/status/1194902046232760320/ - mostly the US. From nonprofits and Y Combinator startups to Fortune 500 companies like Microsoft and Samsung, plus government projects for the EU. We help clients improve their products, marketing, and business decisions using structured web data and automating repetitive tasks. We're looking for a Senior Data Scientist to join Apify's data team as it scales from 6 to 10+ people in 2026. You'll be the first dedicated data scientist at Apify, setting the foundations for how the company uses data science to drive business decisions. You'll lead complex projects from start to deployment, driving insights that directly impact product usage, growth, and customer success. Working across go-to-market (GTM), Growth, Product, and Customer Success teams as part of a central data function, you'll shape Apify's data strategy and build the practices that future data scientists will follow. This role brings interesting challenges. We're not an e-commerce company with a straightforward customer-item-order-payment-delivery data model. The Apify platform supports many use cases with diverse datasets - usage-based billing, multiple pricing models, 19,000+ Actors, and more. Perfect for a puzzle solver! We extract data from MongoDB, Mixpanel, Segment, AWS, and HubSpot. We use Keboola as the ETL tool on Snowflake (we manage it ourselves) and multiple reporting tools: Redash, Tableau, Segment, and Mixpanel for web traffic and user events, HighTouch for reverse-ETL, and HubSpot for CRM. WHAT YOU'LL BE WORKING ON: - Uncover how customers discover, adopt, and expand their use of the Apify platform - from first Actor run to production workflows - providing insights that drive activation, retention, and growth. - Lead and partner with business teams across GTM, Growth, and Customer Success to understand key challenges, define problems, and design data-driven solutions through hypothesis testing, experimentation, and analytics. - Build predictive models that identify activation likelihood, expansion signals, and usage patterns across 17,000+ Actors and multiple pricing tiers. - Own end-to-end development and deployment of machine learning models - from data collection and preprocessing to experimentation, modeling, and production - solving high-impact business problems. - Conduct exploratory data analysis to identify trends, patterns, and insights in product usage and customer behavior. - Translate complex analytical findings into clear, actionable recommendations for stakeholders. - Establish data science best practices, frameworks, and workflows that scale as the team grows in 2026 and beyond. - Collaborate with data engineers and analysts to define project requirements and build the foundations for Apify's data science function. WHO WE'RE LOOKING FOR: - Proven track record of delivering business impact through data science - whether that's analytics, modeling, or experimentation. - Deep understanding of statistical theories and concepts (probability, hypothesis testing, regression analysis, clustering) and models. - Strong knowledge of predictive modeling and experience with product analytics (activation funnels, cohort analysis, usage segmentation). - Experience conducting statistical analysis to derive insights and make predictions. - Ability to identify and apply AI/ML techniques to improve data models and analytics, with an eye toward productionizing models over time as the team matures. - Strong SQL and Python skills and experience working with cloud data warehouses. - Comfort with ambiguity and foundational work - you enjoy building processes and practices where none exist yet. - Track record of proactively identifying opportunities, testing hypotheses, and proposing data-driven solutions. - Experience applying AI to make your work more effective and deliver better value sooner and ... (truncated, view full listing at source)