R&D Data Scientist Team Lead, we are looking for you!

Hi, we’re Intango, a global leader in AdTech. Our technology and AI-based solutions and platforms are at the heart of everything we do, but we keep a business-first mindset. As a bootstrapped company, we are results-oriented by nature, and guided by values of impact, business focus, effectiveness, and efficiency.

Ouna, our Programmatic Distribution unit, is building innovative programmatic Real-Time Bidding solutions and B2C Products. Driven by technology and data, we drive impactful, people-centric marketing.

What’s in it for you?

To begin with – we stick to a “No As****s” policy, so you’ll work with smart, talented, collaborative, friendly, and fun people! 😊

Enjoy the best of both worlds! Experience the impact, close collaboration, and fun of a startup, with the experience and stability of an established company.

You’ll help build the core engine behind our RTB systems and user engagement tools. This role combines data science with fast, efficient software development.

Your Impact and Mission:

• Deliver end-to-end projects from concept to deployment, leading a mixed team of both data scientists and SoftwareML engineers.
• Own the research, design, and deployment of ML models in a real-time, high-scale RTB environment.
• Impact business performance by leading experiments and product-facing innovation in ad targeting, bidding, and optimization.
• Build production-grade ML and data systems that operate at low latency and high throughput
• Collaborate cross-functionally with engineering, product, and business to shape and scale our ML-powered solutions.

Your Experience, Mindset, and Skills:

• 5+ years in software development and applied data science roles, including 2+ years in a team lead capacity.
• Strong programming skills in Python and production-grade software development experience.
• Deep knowledge of machine learning techniques and deployment in real-time systems.
• Proven experience with Real-Time Bidding, auction dynamics, and programmatic ad tech ecosystems.
• Expertise in data processing at scale – SQL, Spark, Airflow, streaming (Kafka/Flink).

It can be a great plus if you have:

• Experience with cloud platforms (AWS/GCP) and ML tools (MLFlow, TensorFlow, PyTorch).
• Experience in Presto and Hive

Important to know: We work in a hybrid model – 3 days together @ the office and 2 WFH days, on fixed days.