Lead Machine Learning Engineer
OpenTeamsFull Time
Senior (5 to 8 years)
Candidates should have 5+ years of experience in a data science, ML engineer, or similar role, preferably in a product-led environment, with proven experience deploying predictive models in production. Proficiency in Python (e.g., scikit-learn, pandas) and SQL is required, along with comfort using cloud data platforms like Snowflake and AWS. The ability to clearly communicate data findings to non-technical stakeholders is essential. Experience in fitness, wellness, or consumer behavior domains is a plus.
The Senior Data Scientist will build and refine machine learning models for predicting member churn, forecasting class demand, and segmenting behavioral patterns. Responsibilities include prototyping intelligent dashboard features like forecasting, benchmarking, smart recommendations, and alerts. The role involves enriching internal models with external data sources, collaborating with Engineering and Product teams to productize models, monitoring performance, and iterating based on results. Staying current with ML/AI advancements and testing new ideas to bring value to customers are also key duties.
Provides software and payment solutions for businesses
Xplor Technologies offers software and payment solutions designed to help small to medium-sized businesses grow by managing digital marketing, loyalty programs, and appointment scheduling. Their products operate on a subscription model for software and transaction fees for payment processing, allowing businesses to streamline operations and enhance customer engagement. Xplor stands out by promoting an inclusive culture and continuously improving its offerings with advanced features like Xplor Pay Mobile and Service Autopilot. The company's goal is to empower businesses to effectively engage with customers and drive growth through accessible technology.