The Role
Lead and scale the Data Science organization, including hiring, mentoring, strategy, and performance management. Oversee projects from problem formulation through production deployment, prioritize initiatives by business impact, and collaborate with product, engineering, analytics, and executive teams. Establish best practices for reproducibility, experimentation, model monitoring, and quality. The role requires advanced Python and SQL, ML pipeline and cloud expertise, distributed computing knowledge, and experience deploying generative AI and NLP models in high-growth environments.
Summary Generated by Built In
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
- Experience optimizing company processes through AI solutions
- Implementation of AI tools across departments (development, support, marketing, etc.)
Would be a plus
What we offer
- 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
- 100% medical insurance coverage
- Sports and equipment reimbursement
- Team building events, corporate gifts, and stylish merch
- Financial and legal support
- Maternity Recovery Support Allowance
- Position retention and support for those who join the Armed Forces of Ukraine
- Participation in social initiatives supporting Ukraine
- Work from our Kyiv hub or remotely with a flexible schedule
- Modern equipment or depreciation of your own tools
- 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
Care and support:
Comfortable working environment:
Investment in your future:
Hiring process
- Intro call
- Technical Interview
- Interview with Hiring Manager
- Final Interview
- Reference check
- Offer
Skills Required
- Proven ability to implement Data Science best practices, including reproducibility, A/B testing, and ML monitoring
- Strong track record maintaining model performance, drift, and latency quality
- Advanced Python skills with pandas, scikit-learn, NumPy, and XGBoost
- High-level SQL expertise with large datasets and query optimization
- Hands-on experience with ML pipelines, Airflow or Prefect orchestration, and Evidently, MLflow, or Prometheus monitoring
- Experience with GCP
- Solid understanding of A/B testing, causal inference, and statistics
- Familiarity with APIs, data pipelines, and microservices architecture
- Cloud experience with AWS or Azure
- Knowledge of distributed computation tools such as Spark or Cloud Run
- Proven track record deploying generative AI or NLP models
- Experience in startups or high-growth companies
- Publications, conference speaking, Kaggle achievements, or open-source contributions
- Experience optimizing company processes through AI solutions
- Experience implementing AI tools across departments
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The Company
What We Do
United Tech is a Ukrainian product IT company that develops its own mobile and web products in the social networking niche. Our brands are growing rapidly and attracting leading positions in their categories, influencing modern approaches to development and ambitious goals of our teams. For almost 5 years, United Tech team has been creating applications that are used by millions of users around the world. Our products’ primary market is Tier-1 region, including but not limited to USA, UK, Canada and leading European countries. Niches that cover our expertise: - social networking; - big data & analytics; - performance marketing; - payment solutions; - mobile apps.
