Senior Data Scientist in Remote (Ukraine)

Binariks is looking for a highly motivated Senior Data Scientist to join the solution group  now and as an employee on the project in the future.

What We’re Looking For

• Minimum 5 years of professional experience as a Data Scientist or Machine Learning Engineer.


• Hands-on experience building solutions with agentic AI frameworks. Specific, practical experience with Microsoft Autogen and/or AG2 is highly desirable. Experience with LangGraph is also valuable.


• Strong foundation and practical experience in classical machine learning algorithms (regression, classification, clustering, dimensionality reduction, etc.) and statistical modeling.


• Proven expertise in the end-to-end data analysis process, including data cleaning, EDA, visualization, and interpretation of results.


• Proficiency in Python and standard data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc.).


• Significant experience working with Jupyter Notebooks for analysis and reporting.


• Experience or strong conceptual understanding of validating complex system outputs, particularly in contexts involving non-deterministic or AI-generated results.


• Excellent analytical and critical thinking skills with a proven ability to tackle complex, open-ended problems.


• Strong English communication skills (written and verbal) for collaborating with team members and clients.


• Master's degree or PhD in Computer Science, Data Science, Statistics, Artificial Intelligence, or a related quantitative field (or equivalent practical experience).

Your responsibilities

• Design and build of Power BI Reports and Paginated Reports based on reporting requirements from Business Analysts




• Recognize business requirements in the context of business intelligence and transform data into useable insights




• Provide guidance and recommendations for visualization options for dashboards and reports




• Development of measures and calculations using DAX and MDX where appropriate




• Analyze data and display it in reports to aid in decision-making




• Review business needs and provide technical specifications and work-effort estimates for project planning




• Provide explanations and documentation for data visualizations




• Performance tune SQL, M, and DAX




• Apply best practices through the development lifecycle