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Data Scientist

Job description

We are looking for a Data Scientist. This is your chance to own projects from scratch, shape the future of user engagement, and drive tangible business results. At United Tech, ambition is highly valued and actively encouraged.

About the product: Join us in developing a web communication platform that connects users from all over the world! Since 2020, our platform has been a trusted space for long-term users, offering 24/7 communication and content sharing with ease. Thanks to our high-performance capabilities and intuitive UX/UI design, we stand out in a competitive market. With no ads and a unique approach to monetization, we are continually enhancing the user experience.

Here, you will find a supportive team that values your input and encourages growth. Whether through mentorship from senior experts or the opportunity to directly influence the product, your contributions will be felt. Plus, with a strong, independent team and a successful, profitable product, we’re on a mission to break into the top 5 international social networking platforms.

In this role, you will
  • Analyze and interpret user behavior across user activity, purchases, and retention, turning insights into actions that enhance user experience and drive monetization
  • Build robust predictive models for churn, compatibility scoring, and fake account detection to support personalized user experiences and improve operational efficiency
  • Develop real-time recommendation systems for using, advanced collaborative filtering, embeddings, and deep learning techniques
  • Partner closely with product managers, marketers, and engineers, translating business opportunities into impactful, data-driven initiatives
  • Create and manage scalable data pipelines and interactive dashboards, enabling proactive monitoring of key metrics
  • Continuously innovate by exploring cutting-edge analytical techniques for deeper insights into user segmentation and behavior dynamics

  • It’s all about you
  • Advanced proficiency in SQL (window functions, CTEs, query optimization)
  • Expertise in statistical modeling, hypothesis testing, and Bayesian methods
  • Solid experience in experimental design, causal inference, A/B testing, and uplift modeling
  • Proven skills in machine learning, especially recommender systems, churn analysis, LTV prediction, and NLP techniques
  • Deep learning skills (PyTorch/TensorFlow) are a valuable plus
  • Hands-on experience with data wrangling (pandas, numpy, Spark) and ETL pipeline development (dbt, Python pipelines)
  • Familiarity with large-scale data warehouses like BigQuery, Redshift, or ClickHouse
  • Proficient in workflow orchestration tools (Airflow, Prefect) and Git for version control
  • Strong Python programming skills (classes, testing, modularity) with a focus on performance optimization (vectorization, parallel processing)Experience in conversational AI
  • Knowledge of pricing optimization, paywall testing, and offer personalization
  • Exposure to user acquisition and attribution modeling (first-touch, multitouch)
  • Proven success with funnel optimization and conversion analytics

  • What we offer
  • Care and support: 
  • 20 paid vacation days, 15 sick days, and 6 additional days off for family events
  • Up to 10 additional days off for public holidays
  • 100% medical insurance coverage
  • Sports and equipment reimbursement
  • Team building events, corporate gifts, and stylish merch
  • Financial and legal support
  • Position retention and support for those who join the Armed Forces of Ukraine
  • Participation in social initiatives supporting Ukraine

  • Comfortable working environment:
  • Work from our Kyiv hub or remotely with a flexible schedule 
  • Workspace rental reimbursement in other cities and abroad
  • Modern equipment or depreciation of your own tools

  • Investment in your future:
  • Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
  • 70% of our heads and leads have grown into their roles here – so can you!
  • Performance-oriented reviews and Individual Development Plans (IDPs)
  • Reimbursement for professional courses and English classes
  • Corporate library, book club, and knowledge-sharing events

  • Hiring process
  • Intro call
  • Technical Interview
  • Bar-raising
  • Reference check
  • Offer
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