Data Scientist

At MAC, we believe in the power of data to transform experiences—both in the gym and across our digital platforms. As a Data Scientist, you’ll be at the forefront of turning complex datasets into clear, actionable insights that drive growth, retention, and innovation.

You’ll work under the guidance of the Data & Analytics Manager and collaborate closely with the Product, Growth, and Engineering teams to develop predictive models, run experiments, and contribute to MAC’s data-driven strategy.

Key Responsibilities

1. Build predictive and classification models to support personalization, churn prevention, pricing, and campaign optimization
2. Design and evaluate A/B tests and other controlled experiments
3. Explore large datasets to uncover patterns and opportunities for growth or efficiency
4. Communicate findings clearly to both technical and non-technical stakeholders
5. Collaborate with data engineers to ensure model deployment and integration into production systems
6. Continuously evaluate and improve model performance using appropriate validation techniques
7. Contribute to building a scalable and reusable data science toolkit within MAC

What We're Looking For

1. 2+ years of hands-on experience in a data science or machine learning role
2. Strong background in statistics, machine learning, and predictive modeling
3. Proficiency in Python (Pandas, Scikit-learn, PyTorch, Tensorflow, etc.) and SQL
4. Curiosity to explore emerging technologies such as generative AI, agentic AI, or LLMs
5. Experience with experimentation and A/B testing
6. Familiarity with cloud platforms (preferably GCP, AWS or Azure)
7. Ability to communicate complex results in a clear, actionable way
8. Fluent in English and Turkish

Nice to Have

• Experience in digital product analytics or subscription-based businesses
• Familiarity with recommendation systems, clustering, or time series forecasting

Why Join Us?

You’ll join a growing data team on a mission to redefine how data powers fitness. Your models and insights will directly impact the way MAC interacts with its members—making fitness smarter, more personal, and more effective.