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.