Data Scientist (Consumer Analytics)

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.

Must have:

Commercial experience with various Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression, etc.).
Familiarity with customer analytics such as churn analysis.
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation.
Previous experience in an analytical role supporting business.
Fluency in Python, basic working knowledge of SQL.
Knowledge of specific DS/ML libraries.

Nice to have:

Familiarity with other languages R, Scala would be a plus.
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.
Basic computer programming skills and familiarity with programming concepts.
Strong business acumen.
Ability to come up with creative solutions to address customer problems.

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.