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. Example projects in this area: Next Best Offer/Action, propensity modeling, churn modeling, forecasting of demand and sales, revenue growth management, etc. This role requires close collaboration with business stakeholders, and the ability to understand their problems and translate them into machine learning ones.
responsibilities :
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 time-series data.
Train, validate, and tune standard ML models (e.g. logistic regression, tree-based models, gradient boosting, simple neural nets, classical time-series 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).
Business understanding and translating problems into technical goals by defining success metrics, auditing data feasibility, and aligning stakeholder expectations.
Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.).
Solid knowledge of customer analytics 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).
offered :
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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
corporate library
no dress code
video games at work
coffee / tea
drinks
parking space for employees
leisure zone
employee referral program
charity initiatives
family picnics
Non-corporate atmosphere
Freedom to choose your working model (HO/hybrid/office)
