Head of Data Science
Leadership role heading the Data Science team at United Tech, a product company building live-streaming and social networking apps. You set DS strategy, own the model lifecycle to production, and drive business impact using Python, SQL, ML pipelines/orchestration on GCP/AWS, with emphasis on A/B testing and generative AI/NLP deployment.
- Compensation
- Not disclosed
- Location
- Europe
- Work setup
- Remote
- Seniority
- C level
- Employment
- Full time
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- 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)
- 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, Kaggle achievements, or open-source contributions
Nice to have
- Experience with PyTorch or TensorFlow
- Experience optimizing company processes through AI solutions
- Implementation of AI tools across departments (development, support, marketing, etc.)
Full description
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