lifetech
Data Scientist.
We are looking for an ML Engineer to join the Data Science team at lifetech. We build and develop ML solutions that help the business make data-driven decisions. Joining our team, you will have the opportunity to manage projects end-to-end, work with a modern tech stack, collaborate closely with business stakeholders, and see the real impact of your models on the product.
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What kind of specialist we are looking for
As Data Scientist you will:
- Analysis of key metrics of products, user behavior;
- Participation in the formation of KPI for business;
- Extraction of large amounts of data from various internal and external sources with subsequent analysis;
- Collection and analysis of data, construction of segmentation, visualization of results in an accessible readable form;
- Formation and testing of hypotheses, preparation of proposals for business based on research;
- Evaluation of the effectiveness of mailings, suggestions for optimization;
- Continuous improvement of existing predictive models and construction of new ones (churn, scoring, fraud, CLV, etc.).
What is required for work:
- Higher education in Mathematics, Statistics, Computer Science, Engineering, or a related field;
- 3+ years of experience in ML and data analysis;
- Strong Python skills, understanding of data structures, debugging skills, and the ability to write reliable, maintainable production code;
- Experience with SQL, Git, and OOP;
- Strong knowledge and practical experience with classical machine learning algorithms (linear models, decision trees, ensembles, time series analysis, clustering, etc.);
- Excellent understanding of model validation processes and machine learning metrics;
- Hands-on experience with ML tools and libraries such as pandas, NumPy, scikit-learn, CatBoost, etc.;
- Experience with exploratory data analysis (EDA) and data visualization;
- Ability to apply statistical methods to analyze data, validate hypotheses, and extract insights;
- Experience communicating with business stakeholders and translating business requirements into ML tasks.
Here is what we can offer
Our conditions:
- Office-based role (Victoria Olimp Business Center)
- Comprehensive health insurance plan (including medication and dental care)
- Performance-based bonuses
- Corporate mobile phone and internet service
- Company-provided hardware and mobile phone
- Payments for significant life events
- Birthday gifts
- Lunch allowance
- 29 days of paid annual leave
- Office with fully equipped kitchens (coffee, tea)
We are waiting for you in our team and we want you to become a part of our success together with us!
Join our team.
