Informacje o stanowisku

• 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.
• Social fund benefits for everyone. All Lingarians can apply for social fund benefits, such as vacation co-financing.
• 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.

• commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
• at least 7 years of experience in a similar position
• familiarity with customer analytics DS concepts or advanced forecasting
• model hyperparameter tuning
• model validation frameworks
• experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
• previous experience 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)
• 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

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

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, well provide an environment where you feel valued and empowered to learn and grow.

• 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.
• Social fund benefits for everyone. All Lingarians can apply for social fund benefits, such as vacation co-financing.
• 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.

,[Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment), Analyzing and interpreting the findings, Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes, Pre-sales activities (at senior consultant level) Requirements: Data Science

Praca Warszawa

Warszawa - Oferty pracy w okolicznych lokalizacjach