{"id":154987,"url":"https://alion.io/job/okko-senior-data-scientist-rec-system","title":"Senior Data Scientist (Rec. system)","company":{"id":2358,"name":"Okko","domain":"okko.tv","url":"https://alion.io/company/okko","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":40,"open_postings":4,"ghost_share":0.75,"stale_share":0,"repost_share":1,"time_to_fill_p50_days":23,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Moscow, Russia"],"countries":["RU"],"hiring_countries":["RU","BY","KZ","KG","AM"],"hiring_countries_total":5,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":58000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ClickHouse","optional":false},{"name":"Feast","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"Computer Vision","optional":true},{"name":"Feature Store","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-09-17T09:15:57Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-16T20:55:04Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":29},"description":"Мы делаем рекомендательную систему, которая является одним из ключевых ML-сервисов в Okko. Простые задачи мы уже решили, остались интересные.\n Обязанности:\n исследование и реализация алгоритмов и практик машинного обучения в рекомендательных сценариях Okko;\n\n анализ исходных данных и результатов экспериментов с моделями.\n\n Что мы используем:\n Python;\n\n PyTorch;\n\n Airflow;\n\n Feast;\n\n ClickHouse.\n\n Условия:\n выделенная команда DWH и команда аналитиков, которые помогают в сборе данных, поиске зон роста и запуске A/B-экспериментов;\n\n команда разработки и DevOps/MLOps, которые помогают в вопросах инфраструктуры и деплоя моделей;\n\n внутренние курсы с обучением по разным топикам (RL, RecSys, практическая аналитика);\n\n серверы с A100 (80 GB) для обучения нейронных сетей и данные сервиса с миллионами пользователей.\n\n Необходимые навыки:\n хорошие аналитические навыки, понимание базовых алгоритмов и структур данных;\n\n хорошее знание Python и базовых библиотек для работы с данными (NumPy, Pandas);\n\n хорошее знание классического ML;\n\n понимание этапов разработки модели от подготовки данных до тестирования в продакшн-системе;\n\n понимание принципов работы современных нейронных сетей;\n\n понимание принципов свёрточных нейросетей и трансформеров на уровне самостоятельного использования.\n\n Будет плюсом:\n опыт работы в RecSys;\n\n опыт работы в NLP и Computer Vision;\n\n хорошая ориентация в SOTA-практиках и регулярное самостоятельное чтение статей;\n\n опыт работы с RL-алгоритмами;\n\n понимание особенностей обучения моделей на GPU;\n\n опыт распределённого обучения трансформеров;\n\n понимание принципов работы Feature Store и опыт построения real-time-фич для инференса.\n\n Мы предлагаем:\n необходимое оборудование и софт для работы;\n\n официальное трудоустройство;\n\n ДМС со стоматологией, офисный врач, доплата больничного листа, корпоративные скидки;\n\n льготные условия ипотеки в рамках зарплатного проекта;\n\n бесплатная подписка на сервисы партнёров;\n\n корпоративный спорт;\n\n насыщенная корпоративная жизнь;\n\n электронная библиотека издательства МИФ, в которую входят почти 2 тыс. единиц контента по бизнесу, саморазвитию, здоровому образу жизни и другим актуальным темам.","description_format":"text","description_chars":2171,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Russian","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Russia","iso":"RU","kind":"country"},{"name":"Belarus","iso":"BY","kind":"region"},{"name":"Kazakhstan","iso":"KZ","kind":"region"},{"name":"Kyrgyzstan","iso":"KG","kind":"region"},{"name":"Armenia","iso":"AM","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Streaming & OTT 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