Data Strategist

2 dni temu

Warszawa, Mazovia, Polska GroupM Pełny etat
About Us

Choreograph is the heartbeat of data inside GroupM, a global media investment company responsible for more than $60 billion in annual media investment.

Salary

$120,000 - $180,000 per year

Job Description

We're seeking a talented Data Scientist to join our team and contribute to building innovative solutions for real-world problems. As a member of our team, you'll work on projects that require applied research, developing prototypes, and running experiments to validate novel solutions to difficult problems.

You'll have the opportunity to work on challenging topics such as media buying optimization, causal inference, and incrementality measurement. Your expertise will help us improve advertising outcomes for our clients and drive business growth.

In this role, you'll collaborate with product managers, engineers, and other data scientists to identify opportunities for solving problems through the application of statistical methods and machine learning.

Responsibilities
  • Develop new, inference-based features and components from research and prototyping to writing production-ready code.
  • Help identify opportunities to solve problems through the application of statistical methods and machine learning.
  • Advance our understanding of challenging topics through experiments, prototypes, data visualization, and other techniques for communicating with experts and non-technical audiences alike.
  • Support proof-of-concept applications of new models and systems on key clients to drive immediate value to customers and our business.
Requirements
  • Masters degree in a quantitative field: statistics, computer science, physics, or similar.
  • Experience in implementing machine learning models to solve practical problems based on real-world data.
  • Strong analytical skills, including large-scale data manipulation and visualization.
  • Theoretical knowledge of machine learning: supervised learning, unsupervised learning, clustering. Experience with model development in Deep Learning and Reinforcement Learning a plus.
  • Practical experience with embedding models a plus.
  • Strong programming skills in Python. Experience working with ML packages (scikit-learn, TensorFlow, etc.)
  • Experience developing on cloud infrastructure (AWS, Google Cloud, ...)
  • Strong communication skills, maintaining precision and rigor while making complex concepts accessible to non-experts.

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