Company: Strikt
Location: Moscow, Russia
Employment Type: Part-time
Work Format: Fully Remote
About the Company and Team
We are among the top IT employers in Russia 2025 on Habr Career. At Strikt, we transform our clients' chaotic business processes into clear, self-learning algorithms using AI. We are looking for an experienced Data Scientist to join our team to work on interesting projects in the AdTech and Machine Learning fields!
Candidate Expectations
- Higher technical or mathematical education;
- 3–4 years of commercial experience in Data Science / ML.
- Strong foundation in statistics, classical ML, and data analysis.
- Experience with Time Series: forecasting, moving window, trends, seasonality, model quality assessment.
- Experience participating in projects with LLM / NLP / GenAI: prompts, embeddings, RAG, or LLM integration into product scenarios.
- Proficient Python: pandas, numpy, scikit-learn, matplotlib, Jupyter Notebook.
- Knowledge of SQL and understanding of relational databases.
- Ability to independently understand a task, choose an approach, and explain the solution to the team.
- Willingness to mentor junior/middle DS specialists.
Will be a plus
- English language proficiency for reading technical documentation
- PyTorch / TensorFlow / Hugging Face.
- CatBoost / LightGBM / XGBoost.
- LangChain / LlamaIndex / vector databases.
- Understanding of MLOps, model quality monitoring, and CI/CD.
- English for reading documentation.
Responsibilities
- Work on Time Series, classical ML, and LLM/NLP tasks.
- Develop and improve existing ML models in projects.
- Assist in selecting approaches, metrics, and quality criteria.
- Analyze data, build hypotheses, and conduct experiments.
- Work with SQL and Python for data extraction, cleaning, and analysis.
- Review solutions from less experienced DS specialists and help the team grow.
Working Conditions
- Fully remote work.
- Part-time employment.
- Formalization as a self-employed individual or sole proprietor from day one.
- Projects at the intersection of Data Science, Time Series, LLM/NLP, and applied AI.
- Strong team, opportunity to influence technical decisions.
