Senior Data Scientist

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Lead advanced analytics, causal reasoning, and AI-driven decision intelligence across various applications within our AI portfolio.

• Create production-quality systems that merge predictive, causal, and generative AI functionalities.

• Design and implement systems that incorporate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making processes.

• Work closely with data engineers, ML engineers, analysts, and platform teams.

• Develop and deploy machine learning models for various applications, including forecasting, optimization, and recommendation systems.

• Utilize statistical, predictive, and prescriptive modeling techniques to address business challenges.

• Construct reusable modeling frameworks that can be scaled across diverse domains.

• Design and execute causal inference methods (e.g., uplift modeling, experiments, quasi-experimental techniques).

• Convert observational and experimental data into actionable business insights.

• Integrate causal reasoning into decision systems that direct actions.

⛳️ Requirements

• Extensive experience in machine learning, statistics, and applied data science.

• Proven experience with causal inference, experimentation, or decision science methodologies.

• Comprehensive understanding of forecasting, optimization, or analytical modeling techniques.

• Proficient programming skills in Python and SQL.

• Experience in building and deploying production-ready data science or machine learning systems.

• Familiarity with model lifecycle management (training, deployment, monitoring).

• Practical experience with at least one major cloud platform: Azure (preferred), AWS, or GCP.

• Background in working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems).

• Experience handling complex, multi-source datasets (e.g., transactional, behavioral, operational data).

• Ability to transform business challenges into analytical frameworks.

🏝️ Benefits

• Medical insurance.

• Sports reimbursement budget.

• Home office support.

• Access to a range of free psychological and legal consultations.

• Support for maternity and paternity leave.

• Internal workshops and learning opportunities.

• Compensation for English language classes.

• Reimbursement for professional certifications.

• Opportunities to participate in professional local and global communities.

• Growth Framework to manage expectations and outline steps for career advancement.

• Mentoring program offering the chance to be either a mentor or a mentee for career development.

• Valtech Ukraine implements a progressive benefits package system—longer tenure with the company leads to more benefits.