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Data Science Manager (AdTech)
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (AdTech): Leading a team of data scientists to develop audience generation and insight solutions with an accent on machine learning for embedded targets, audience privacy, and composite AI agents. Focus on designing scalable systems, managing complex projects, and collaborating cross-functionally to optimize yield and support sales with data-driven insights.
Company
is a global AdTech company providing privacy-focused advertising solutions trusted by top US advertisers and thousands of publishers worldwide.
What you will do
- Lead and support a team of seven data scientists, managing capacity and hiring.
- Foster a high-performance culture across distributed teams in Berlin and Bangalore.
- Design and maintain scalable systems for complex data science projects.
- Plan and execute multi-dependency projects aligned with architectural standards.
- Improve team methodologies and technical processes for efficiency and quality.
- Collaborate closely with Product Management and Backend Engineering to align roadmaps.
- Stay hands-on with technical implementation, data insights, experiments, and A/B testing.
Requirements
- Minimum 8 years of experience in Data Science with leadership in technical settings.
- Significant AdTech industry expertise including programmatic auctions and inventory valuation.
- Expertise in Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and Big Data tools (PySpark, Google Cloud Vertex AI).
- Fluency in statistical analysis, data mining, and experimental design.
- Strong communication and conflict resolution skills for cross-functional collaboration.
- Advanced degree (Master's or PhD) in a quantitative field preferred.
Culture & Benefits
- Health coverage including Apollo Health Check-ups and Medical Insurance for family.
- Personalized benefits platform worth INR 4100/month for travel, entertainment, food, fitness, and healthcare.
- Office lunches thrice weekly and snacks provided.
- Annual training budget, internal webinars, and language classes (German/English).
- 19 paid vacation days plus 3 wellness days and public holidays.
- Monthly Work & Travel raffle offering chances to work from global offices after 2 years.
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