Data Scientist

As Türkiye's largest fitness community with our brands MAC/One, MACFit, MAC Studio, and NuSpa, we are looking for a Data Scientist to join our Technology Team at our headquarters in Ortaköy.

Being part of MAC means joining a community that is constantly evolving, improving, and moving toward a better life.

Here, ideas are valued, team spirit is supported, and feeling good is just as important as working efficiently.

If you want to be part of our well-being community, we look forward to your application.

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 be working at the intersection of health, behavior, and data — a rare space where predictive modeling meets real human habits and physical wellbeing.

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. You'll also help bridge data science and growth by using event-level analytics and omni-channel engagement tools to turn insights into measurable impact across our app, web, and offline touchpoints.

Key Responsibilities

• Build predictive models to support personalization, churn prevention, pricing, and campaign optimization efforts
• Enrich and expand the datasets and datamarts used for modeling, working closely with data engineering to ensure data quality and coverage
• Redesign and modernize existing models, and own the end-to-end lifecycle — rebuilding pipelines, deploying to production, and managing ongoing serving and monitoring
• Design and evaluate A/B tests and other controlled experiments
• Explore large datasets to uncover patterns and opportunities for growth or efficiency
• Continuously evaluate and improve model performance using appropriate validation techniques
• Communicate findings clearly to both technical and non-technical stakeholders
• Contribute to building a scalable and reusable data science toolkit within MAC

What We're Looking For

• 4+ years of hands-on experience in a data science or a related field
• Strong background in statistics, machine learning, and predictive modeling
• Familiarity with recommendation systems, clustering, or time series forecasting
• Proficiency in Python (Pandas, Scikit-learn, PyTorch, TensorFlow, etc.) and SQL, with experience building and maintaining production ML pipelines (feature engineering, training, deployment, monitoring)
• Curiosity to explore emerging technologies such as generative AI, agentic AI, or LLMs
• Familiarity with cloud platforms (preferably GCP)
• A strong product and growth mindset, with hands-on experience using GA4, event-based product analytics, and omni-channel marketing/engagement tools to translate insights into concrete experiments and actions
• Ability to communicate complex results in a clear, actionable way
• Experience in digital product analytics, subscription-based businesses, e-commerce, or customer analytics is a strong plus
• Fluent in English and Turkish

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. We give real ownership: if you identify a problem worth solving or an opportunity worth chasing, you'll have the flexibility to run with it