Head of Data Science

United Tech

. Build, scale, and develop the Data Science team, including hiring, mentoring, and performance evaluation .

Posted 10/22/2026full-timeRemote • UkraineLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling Data Science teams while implementing best practices in model quality and lifecycle management. Proficient in advanced Python programming, SQL, and cloud technologies, with a strong focus on A/B testing and AI solutions.

Highest-signal resume keywords

Data Science Strategy DevelopmentAdvanced Python SkillsModel Quality MaintenanceML Pipeline OrchestrationCloud Experience (GCP, AWS, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLA/B TestingMachine Learning MonitoringData Science Best PracticesGenerative AI/NLP DeploymentStatisticsDistributed Computation ToolsModel Performance OptimizationCloud Technologies

Soft Skills

MentoringCollaborationPerformance EvaluationLeadership

Tools & Technologies

AirflowPrefectEvidentlyMLflowPrometheusGCPAWSAzureSparkCloudRun

Industry Keywords

Data ScienceHigh-Growth CompaniesStartupsAI SolutionsModel Deployment

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformMicroservicesNumpyPandasPrometheusPythonPyTorchScikit-LearnSparkSQL

About the role

Key responsibilities & impact

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 Data Science 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

Requirements

What you’ll need

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.)

Benefits

Comp & perks

20 paid vacation days
15 sick leave days
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
Collaboration with a highly-skilled team of Middle & Senior professionals
Performance-oriented reviews and Individual Development Plans (IDPs)
Reimbursement for professional courses and English classes
Corporate library, book club, and knowledge-sharing events