Must have

• Data Science

• English (B2)

Requirements description

• 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)
• 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, we'll provide an environment where you feel valued and empowered to learn and grow.

Offer description

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.

• 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.

Your responsibilities

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