Informacje o stanowisku

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.

• 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.

,[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: Data Science, Machine learning, Forecasting, Python, SQL, Cloud computing, Databricks, GCP, Azure, OOP, MLOps, R, Scala, Deep learning

Praca Warszawa

Warszawa - Oferty pracy w okolicznych lokalizacjach