Staff Data Scientist

About the Role

We are looking for a Staff Data Scientist to develop complex models for our home page ranking, textual item search, and recommendation engines.
You will also work on building product knowledge graphs for our merchants and use optimization and causal inference techniques for menu quality assessment and
performance-based commercial models.

As a Staff-level Data Scientist, you will also mentor and guide less experienced team members, sharing best practices in problem-solving,
modelling, software engineering, and essential soft skills.

What You Can Expect

Main Tasks and Responsibilities:

• Collaborate with cross-functional teams including Data Analysts, Data Engineers, Product Managers, and Software Engineers to understand
  business needs and create end-to-end technical solutions.
• Deploy and validate solutions for millions of users, enabling fast feedback and measurable value.
• Rapidly deploy models to production environments using AWS and internal machine learning platforms.
• Leverage a powerful toolkit including Python, Spark, Presto, Docker, SageMaker, and Airflow for efficient data processing and model deployment.
• Regularly engage in knowledge exchange with Data Scientists of all levels, fostering a collaborative and innovative environment.
• Solve real-world problems in various domains, such as:
  • Ranking and textual search
  • Recommendation systems
  • User clustering and pricing
  • Textual improvement
  • Knowledge extraction from images
  • Dimensionality reduction and uplift modelling
• Apply advanced techniques such as:
  • Deep Learning
  • Gradient Boosting
  • Causal Inference
  • Mathematical Optimization

What We Expect

About You:

• 5+ years of experience in Data Science and Machine Learning, ideally in product development within a tech-driven company.
• Strong Python programming skills with experience in key libraries such as Pandas, NumPy, scikit-learn, and PyTorch.
• Proficiency in statistical hypothesis testing, enabling you to identify problems, explore trends, and discover opportunities through data-driven methods.
• A proactive mindset with the ability to work independently and take initiative.
• Excellent collaboration skills and the ability to work effectively with product, analytics, and engineering teams.
• Strong communication skills in English, both verbal and written.
• Hands-on experience in building ML systems end-to-end, including testing, monitoring, scaling, and impact measurement.

Experience is great, but what we really look for is drive, intelligence, and integrity. Even if you don’t tick every box, we encourage you to apply!

Apply Now

Join us in solving real-world challenges with cutting-edge data science techniques. If you’re passionate about machine learning, optimization, and making a tangible impact, we’d love to hear from you!