Data Lead

6 часов назад

Remote, Украина JustMarkets Полный рабочий день 120 000 ₴ - 200 000 ₴ в год

We are looking for a highly motivated and results-driven Data Lead to join our team full-time. In this role, you will shape the vision, architecture, and delivery frameworks for both Data Engineering and Data Science, aligning the teams into a single, high-impact function.

We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.

Key Responsibilities

Data Engineering Leadership

  • Design and evolve a scalable data platform architecture
  • Oversee development of robust ETL/ELT pipelines and real-time data streams
  • Establish engineering best practices: code reviews, CI/CD, data contracts, observability
  • Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure
  • Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes
  • Validate and clean incoming data to maintain high-integrity datasets

Data Science Leadership

  • Define and lead ML strategy focused on business impact (LTV, churn, recommendations)
  • Drive advanced feature engineering: transformation, normalization, feature generation
  • Own model training, hyperparameter optimization, evaluation pipelines, and experiment tracking
  • Ensure operational stability and observability of ML services
  • Partner with stakeholders to turn complex challenges into data-driven, Responsible AI solutions
  • People & Cross-Functional Leadership
  • Communicate effectively across technical and non-technical teams to influence decisions
  • Lead cross-team processes (e.g., grooming, design reviews, retrospectives)
  • Mentor team members, create growth plans, and foster a culture of psychological safety and accountability

Requirements

  • 4+ years of hands-on experience in both Data Science and Data Engineering, delivering end-to-end solutions
  • 2+ years of experience managing data teams (hiring, mentoring, performance management)
  • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field
  • Strong programming skills in Python, with experience writing clean, production-grade code
  • Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
  • Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark)
  • Deep understanding of core ML algorithms: linear/logistic regression, gradient boosting
  • Strong foundation in mathematical statistics and probability theory
  • Proficient in SQL: complex queries, analytical functions, performance tuning

Nice to have

  • Experience working with ClickHouse or other OLAP databases
  • Background in the trading domain or financial markets
  • Experience analyzing and modeling time series data (e.g., price charts, temporal signals)
  • Familiarity with anti-fraud systems and techniques

We offer

  • 20 paid vacation days per year
  • 10 paid sick leave days per year
  • Public holidays according to current legislation
  • Medical insurance
  • Opportunity to work remotely
  • Professional education budget
  • Language learning budget
  • Wellness budget (gym membership, sports gear and related expenses)

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