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).