{"id":1577286,"url":"https://alion.io/job/strikt-data-scientist-senior-part-time","title":"Data Scientist Senior (Part-time)","company":{"id":7420,"name":"STRIKT","domain":"strikt.ai","url":"https://alion.io/company/strikt","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_board_market","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["RU","BY","KZ","KG","AM"],"hiring_countries_total":5,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":194000,"period":"year","method":"global_role_seniority_cell","sample_n":2679},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"CatBoost","optional":true},{"name":"CI/CD","optional":true},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"LightGBM","optional":true},{"name":"LlamaIndex","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-10-01T10:45:00Z","employer_posted_date":null,"last_verified_at":"2026-10-01T10:45:00Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"Навыки: SQL, Python, NLP, Большие данные, Базы данных, Машинное обучение, Анализ данных, Jupyter Notebook. Квалификация: Senior. Специализации: Ученый по данным.\nО компании и команде\nМы вошли в топ лучших it-работодателей России 2025 на Хабр Карьере. В Strikt мы превращаем хаотичные бизнес-процессы наших заказчиков в четкие, самообучающиеся алгоритмы с использованием ИИ. Ищем к нам в команду опытного Data Scientist для работы над интересными проектами в областях AdTech, Machine Learning!\nОжидание от кандидата:\nВысшее техническое или математическое образование;\nОт 3-4 лет коммерческого опыта в Data Science / ML.\nСильная база в статистике, классическом ML и анализе данных.\nОпыт работы с Time Series: прогнозирование, скользящее окно, тренды, сезонность, оценка качества моделей.\nОпыт участия в проектах с LLM / NLP / GenAI: промпты, embeddings, RAG или интеграция LLM в продуктовые сценарии.\nУверенный Python: pandas, numpy, scikit-learn, matplotlib, Jupyter Notebook.\nЗнание SQL и понимание работы с реляционными БД.\nУмение самостоятельно разбираться в задаче, выбирать подход и объяснять решение команде.\nГотовность помогать junior/middle DS-специалистам.\nБудет плюсом:\nАнглийский язык на уровне чтения технической документации \nPyTorch / TensorFlow / Hugging Face.\nCatBoost / LightGBM / XGBoost.\nLangChain / LlamaIndex / vector databases.\nПонимание MLOps, мониторинга качества моделей и CI/CD.\nАнглийский для чтения документации.\nЧем предстоит заниматься:\nРаботать с задачами Time Series, классического ML и LLM/NLP.\nРазвивать и улучшать существующие ML-модели в проектах.\nПомогать выбирать подходы, метрики и критерии качества.\nАнализировать данные, строить гипотезы и проводить эксперименты.\nРаботать с SQL и Python для извлечения, очистки и анализа данных.\nРевьюить решения менее опытных DS-специалистов и помогать команде расти.\nУсловия работы\nПолностью удалённая работа.\nPart-time занятость.\nОформление по договору с самозанятым или ИП с первого дня.\nПроекты на стыке Data Science, Time Series, LLM/NLP и прикладного AI.\nСильная команда, возможность влиять на технические 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