5 дней назад
Senior Data Scientist (Machine Learning)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Machine Learning): Building and deploying scalable machine learning, forecasting, recommendation, and analytical solutions with an accent on statistical modelling, experimentation, and measurable business impact. Focus on designing feature pipelines and evaluation frameworks, developing production-ready models, and providing technical leadership across Product, Engineering, Commercial, and Data teams.
Location: Hiring in multiple countries; hybrid/remote working scheme available
Company
is an affiliate partnership and advertising technology company, part of the Axel Springer group, building an open partner ecosystem.
What you will do
- Lead the development and deployment of machine learning, forecasting, recommendation, and analytical solutions.
- Partner with Product, Commercial, Engineering, Data, and business stakeholders to define problems and deliver data-driven solutions.
- Design experiments, evaluation frameworks, success metrics, and monitoring approaches.
- Build scalable feature engineering, model development, and deployment workflows, from MVPs through sustainable production solutions.
- Communicate technical findings and recommendations to technical and non-technical audiences.
- Mentor data scientists and contribute to the data science roadmap, governance, and best practices.
Requirements
- 5+ years of experience as a Data Scientist, Machine Learning Engineer, Applied Scientist, or in a similar role.
- Experience delivering machine learning and analytical solutions from discovery through deployment and measurable business impact.
- Advanced proficiency in Python and data science libraries such as NumPy, PySpark, Scikit-learn, TensorFlow, or PyTorch.
- Strong experience with Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow.
- Strong statistical, analytical, problem-solving, stakeholder management, and communication skills.
- Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative discipline.
Culture & Benefits
- Hybrid/remote flexibility through a flexi-office working scheme.
- Four-day Flexi-Week at full pay, with no reduction to annual holiday allowance.
- Monthly work expense contribution and furniture support for home working.
- Health, wellbeing, sports, and other employee support initiatives.
- Access to the Academy training suite and a peer-to-peer recognition programme.
- Dynamic, social, inclusive, and internationally distributed culture.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →