Head of Data Science

Kyiv
United Tech – Analytics /
Full-time /
Remote
United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide. Are you in?

About the role: This is a role for a leader who thrives in a fast-moving product environment, where challenges fuel growth and every decision shapes the future. With United Tech you will have the freedom to design, build, and re-engineer processes from the ground up, working side by side with a team that values initiative, knowledge sharing, and bold goals. Your ideas will directly influence revenue, and you will see the tangible results of your work reflected in key financial metrics. We move fast, we cut through bureaucracy, and we take on complex challenges that push both personal and professional boundaries, limited only by the scale of your ambitions.

In this role, you will

    • Build, scale, and develop the Data Science team, including hiring, mentoring, and performance evaluation
    • Define and execute a Data Science strategy aligned with business priorities
    • Oversee the full lifecycle of DS projects from problem formulation to deploying models into production
    • Prioritize initiatives based on business impact (ROI, time-to-market)
    • Collaborate closely with product managers, analysts, engineers, and C-level executives

It’s all about you

    • Proven ability to implement best practices in Data Science: reproducibility, A/B testing, ML monitoring
    • Strong track record in maintaining model quality (performance, drift, latency)
    • Advanced Python skills (pandas, sklearn, numpy, xgboost; pytorch/tf is a plus)
    • High-level SQL expertise (large datasets, query optimization)
    • Hands-on experience with ML pipelines, orchestration (Airflow, Prefect), and monitoring (Evidently, MLflow, Prometheus)
    • Experience with GCP
    • Solid understanding of A/B testing, causal inference, and statistics
    • Familiarity with architecture fundamentals (API, data pipelines, microservices — integration level)
    • Cloud experience with AWS or Azure
    • Knowledge of distributed computation tools (e.g., Spark, CloudRun)
    • Proven track record with generative AI/NLP model deployment
    • Experience in startups or high-growth companies
    • Publications, conference speaking, achievements on Kaggle, or open-source contributions

    • Would be a plus
    • Experience optimizing company processes through AI solutions
    • Implementation of AI tools across departments (development, support, marketing, etc.)

What we offer

    • Care and support: 
    • 20 paid vacation days, 15 sick days, and 6 additional days off for family eventsz
    • 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
    • Interview with Hiring Manager
    • Final Interview
    • Reference check
    • Offer