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 

 

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 

ability to come up with creative solutions to address customer problems

 

 Why join us: 

 

·       Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

·       100% remote.

·       Flexibility regarding working hours.

·       Full-time position

·       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.

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) 

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 

Ability to come up with creative solutions to address customer problems

 Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.) 

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)  

 

 

• 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, depending on your location.  
• 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.
• Internal Gallup Certified Strengths Coach to support your growth.
• 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.