We are a global digital services company
Data Scientist
Location
Ukraine
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
Data Scientist
Innovecs
• Apply advanced AI/ML methods to solve business and customer problems • Design, develop, and scale machine learning models and prototypes suitable for production integration • Partner with engineering, product, and business teams within Agile delivery environments • Take end-to-end ownership of models, ensuring performance, reliability, and continuous enhancement across their lifecycle • Contribute to full-cycle development, including feature engineering and production readiness • Review code, provide peer feedback, and maintain high engineering and quality standards • Build and maintain strong working relationships with internal stakeholders and external partners • Convert complex analytical outputs into clear, actionable insights for both technical and non-technical audiences • Decompose ambiguous business challenges into well-defined data science problem statements • Stay up to date with industry advancements in AI/ML and actively apply new knowledge • Collaborate with other data science teams to strengthen standards, practices, and culture • Produce and maintain comprehensive documentation for models, workflows, and processes to support transparency and knowledge sharing
Job Requirements
- 5 years of practical experience delivering data science solutions in real-world business contexts
- Strong programming skills in Python with a focus on clean, maintainable, and reusable code
- Advanced SQL capabilities and hands-on experience working with large, unstructured, or inconsistent datasets
- Solid foundation in mathematics, statistics, and machine learning methodologies
- Proven experience deploying and maintaining machine learning models in production environments
- Ability to translate complex business challenges into structured analytical problems
- Strong communication skills, with the ability to clearly present insights to non-technical stakeholders
- Business-oriented mindset with a clear understanding of how analytical outputs translate into value, trade-offs, and growth opportunities
- Practical experience with Azure-based tools for model development, deployment, and lifecycle management
- Continuous learning mindset with interest in emerging AI/ML techniques and technologies
Benefits
- Flexible hours and remote-first mode
- Competitive compensation
- Complete Hardware/Software setup – anything you need for work
- Open-door culture, transparent communication, and top management at a handshake distance
- Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
- Access to our learning & development center: workshops, webinars, training platform, and edutainment events
- Virtual team buildings and social activities
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