Data Scientist

Our team is delivering business solutions with Machine Learning and Data Science often turning them into scalable platforms including non-trivial and innovative solutions in the space of Forecasting and Customer Analytics often leveraging cutting-edge Causality frameworks. This role requires close collaboration with business stakeholders, and the ability to understand their problems and translate them into machine learning ones. Tasks: • Work on end-to-end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction)  • Explore and clean data; perform EDA to understand data and flag data quality issues.  • Engineer features for tabular and timeseries data.  • Train, validate, and tune standard ML models (e.g. logistic regression, treebased models, gradient boosting, simple neural nets, classical timeseries models).  • Evaluate models with appropriate metrics that have impact on business KPIs.  • Build clear visualizations and concise reports to present model results and insights to business stakeholders.  • Collaborate with data engineers and AI engineers to bring models into production (batch scoring, APIs, models monitoring, dashboards).  • Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis). Requirements: • commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)  • knowledge of customer analytics concepts or advanced forecasting  • model hyperparameter tuning  • in an analytical role supporting business will be a plus  • fluency in Python, basic working knowledge of SQL  • knowledge of specific DS/ML libraries  • solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)   Nice-to-have: • understanding of Causal machine learning  • experience in working with big data and distributed environments would be a plus  • commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus  • Experience with OOP in Python  • Experience with MLOps  • familiarity with other languages R, Scala would be a plus  General: • basic computer programming skills and familiarity with programming concepts   • strong business acumen  • experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems We offer: • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. • Workation. Enjoy working from inspiring locations in line with our workation policy.  • Great Place to Work® certified employer. • Flexibility regarding working hours and your preferred form of contract.   • Comprehensive online onboarding program with a “Buddy” from day 1.    • Cooperation with top-tier engineers and experts.   • Unlimited access to the Udemy learning platform from day 1. • Certificate training programs. Lingarians earn 500+ technology certificates yearly.  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. • Grow as we grow as a company. 76% of our managers are internal promotions.   • A diverse, inclusive, and values-driven community.    • Autonomy to choose the way you work. We trust your ideas.   • Create our community together. Refer your friends to receive bonuses.   • Activities to support your well-being and health. • Plenty of opportunities to donate to charities and support the environment.   • Modern office equipment. Purchased for you or available to borrow, depending on your location.