Mariana Tek is evolving its reporting platform into Insights 2.0, a new generation of intelligent dashboards. The company needs a Senior Data Scientist to build the machine learning models that will power these dashboards, transforming raw data into valuable business outcomes like predicting member churn and forecasting class demand.
Requirements
- 5+ years in a data science, ML engineer, or similar role, ideally in a product-led environment
- Proven experience deploying predictive models in production
- Proficient in Python (e.g. scikit-learn, pandas) and SQL
- Comfortable with cloud data platforms like Snowflake and AWS
Responsibilities
- Build and refine predictive models for member churn risk, class booking behaviors, and member segmentation and trends
- Prototype intelligent dashboard features such as forecasting and benchmarking, smart recommendations (e.g. class suggestions or price change triggers), risk and opportunity alerts
- Enrich internal models by linking external data sources (e.g. weather, location data) to studio performance
- Collaborate with Engineering and Product teams to productize models, monitor performance, and iterate based on results
- Stay up to date with advances in ML/AI, testing new ideas that could bring value to our customers
- Support our goals of delivering best-in-industry data and standardizing our data practices
Other
- Ability to communicate data findings clearly to non-technical stakeholders
- Bonus points for experience in fitness, wellness, or consumer behavior domains
- Must be legally authorized to work in the location (country) you're applying for.
- Xplor does not sponsor visas, either at the time of hire or at any later time.
