Senior Data Scientist

What You Will Do

• Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. 
• Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. 
• Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. 
• Contribute to analytical planning and ensure alignment with overall business objectives. 
• Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. 
• Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. 

What You Bring

• Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). 
• Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. 
• Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). 
• Experience leading or mentoring analytics teams and coordinating with business stakeholders. 
• Excellent communication skills, able to translate between technical and business perspectives effectively. 
• Solid understanding of business processes and data structures. 
• Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. 
• Fluency in English for meetings with international clients.