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.
Requirements
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 safer.
Ability to explain complex analytical findings to non-technical stakeholders in English, both in writing and in person.
Nice to have: Experience working in a platform or marketplace business with usage-based pricing.
Familiarity with product-led growth metrics and experimentation frameworks.
Familiarity with NoSQL databases such as MongoDB.
Tech Stack
Cloud
MongoDB
NoSQL
Python
SQL
Benefits
Space, support, and autonomy for personal growth, with a direct impact on Apify's success
Full-time position in Prague (Lucerna Palace) or Brno (Titanium) ๐ฐ
Option to work remotely ๐๏ธ
Flexible working hours (perfect for both night owls ๐ฆ and early birds ๐ฅ)
Nobody counts holidays as long as the work gets done ๐ช
Stock options and profit sharing ๐ฐ
We welcome pets, kids, and bikes at the office ๐๐จโ๐ง
Epic team buildings and offsites ๐ข with biking, canoeing, and other adventures ๐ช
Solid education and training budget, conference tickets, internal โEat & Learnโ sessions, and the possibility to work across teams ๐ฉ๐ผโ๐ป๐จ๐ฝโ๐ป
Generous hardware budget ๐ป
Free lunches every day when you're in the office ๐ฎ๐ฑ๐๐๐ฅก
Unlimited supply of โ & ๐บ and snacks
Free entry to the wonderful Prague Zoo ๐
Free Multisport card ๐
Ping-pong, chess, PS5, lightsabers, foosball league after lunch.