Staff Data Scientist (AdTech)

TL;DR

Staff Data Scientist (AdTech): Leading the design and development of large-scale, complex data science systems and models with an accent on yield optimization, programmatic auctions, and real-time bidding. Focus on identifying new technologies, resolving highly complex technical problems independently, and acting as a technical leader and mentor to other data scientists and engineers.

Location: Hybrid in Berlin, Germany

Company

hirify.global has created an efficient and privacy-focused way to buy and monetize advertising, serving over 90 of the top 100 US advertisers and 4,000 publishers globally.

What you will do

• Lead the design and development of large-scale data science systems and models.
• Drive technical excellence across the Yield Optimization portfolio, including Demand Shaping, Floor Optimization, and Bid Optimization.
• Identify and champion new technologies or methodologies to maintain hirify.global's competitive edge.
• Plan and execute large-scale initiatives, managing multiple interdependencies and cross-team collaborations.
• Design maintainable, scalable, and efficient systems for large-scale data processing and real-time model serving.
• Act as a technical leader and mentor to other data scientists and engineers across distributed teams.

Requirements

• Minimum of 8 years of experience in Data Science or Machine Learning.
• Extensive AdTech industry expertise, with deep knowledge of programmatic auctions, supply/demand matching, and real-time bidding optimization.
• Master-level proficiency in Python and SQL.
• Deep expertise in ML frameworks (TensorFlow, PyTorch, or Scikit-learn) and their application at scale.
• Strong experience with Big Data and Cloud infrastructure (PySpark, Google Cloud Vertex AI, or equivalent).
• Proven ability to design and oversee the implementation of large-scale distributed systems and real-time ML pipelines.
• Exceptional communication skills with the ability to influence technical and non-technical stakeholders across the organization.
• Advanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics).

Culture & Benefits

• Medical insurance for you and your family, and Apollo Health Check-ups.
• INR 4100/month Personalized Benefits Platform for travel, entertainment, food, fitness, and healthcare.
• Office lunches 3 times a week through Zomato, plus office sweets, snacks, and beverages.
• Annual training budget & internal webinars, and German/English language classes.
• 19 paid vacation days + 3 Wellness days, in addition to public holidays.
• Monthly Work & Travel raffle, offering a chance to work from one of our global offices (after 2 years of employment).