8 часов назад
Senior Data Scientist (Machine Learning)
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 systems and prediction pipelines for mobile gaming and consumer applications with an accent on modeling performance, MLOps, and business impact. Focus on designing reproducible experiments, identifying modeling and data risks, and mentoring data scientists while translating predictions into growth and monetization improvements.
Location: Hybrid in Paris, with 3 days per week in the office
Company
creates mobile games and consumer apps, including Mob Control, Block Jam, BeReal, and Wizz.
What you will do
- Own product modeling pipelines and improve modeling performance through new ideas and initiatives.
- Build and deploy scalable machine learning systems for user acquisition, monetization, and time-series prediction.
- Analyze data to identify relevant insights and develop a strong understanding of mobile gaming products and business strategy.
- Establish best practices for ML engineering, experimentation, and reproducibility.
- Identify risks related to modeling, data quality, scalability, and business alignment, and design mitigation strategies.
- Mentor data scientists and collaborate with product managers, engineers, analysts, and other stakeholders.
Requirements
- Senior-level experience building machine learning systems.
- Strong experience with Python, SQL, and MLOps best practices.
- Experience with cloud platforms, ideally AWS.
- Excellent communication in English and French is mandatory.
- Ability to work collaboratively, learn continuously, and share knowledge.
Nice to have
- Experience with Airflow and DBT.
- Experience in a tech startup or scaleup.
- Strong achievements on Kaggle.
Culture & Benefits
- Comprehensive relocation package with visa support.
- Premium healthcare for employees and families, fully covered by .
- Unlimited vacation policy and remote days.
- Lunch vouchers, fully covered Gymlib membership, and wellness activities.
- Child daycare facilities.
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