Data Scientist (Consumer Analytics)

Tasks:

• Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodology.
• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, sharing know-how.
• Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements).
• Propose new experiments to improve model accuracy.
• Work on implementing new forecasting/churn models. 

Requirements:

• Commercial experience with various Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression, etc.).
• Hands on experience in RFM and CLV or/and customer analytics or/and forecasting.
• Strong knowledge of Python (OOP, decorators, best practices).
• Knowledge of PySpark.
• Databricks – knowledge of how workflow/pipelines work. Knowledge of databricks structure and ML related functionalities.
• Knowledge of other ML methods (clustering, regression, classification, churn).
• Understanding and experience in applying Data Science/Machine Learning methods.
• Ability to work independently and can-do attitude.
• Experience in working with client-facing role.
• Good communication skills.
• Basic knowledge of Azure tools. 

Nice to have: 

• Other programming languages knowledge e.g., SQL, R.
• Anomaly detection, NLP, GenAI.
• Working experience in corporate multinational environment.
• Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed.
• Strong business acumen.
• Ability to come up with creative solutions to address customer problems.
• Experience working in cloud technologies e.g. MS Azure, AWS.
• Strong statistical/mathematical background.

We offer:

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office. 
• 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.