PushPress is the ultimate platform for modern gym owners. Our integrated products combine key business functions into one powerful system, creating unparalleled efficiency and leverage for gyms and fitness studios. PushPress Core streamlines day-to-day operations like member check-ins, billing, and scheduling. PushPress Grow, our marketing automation tool, helps gyms attract and retain members through targeted campaigns and analytics. And PushPress Train, our workout tracking app, engages members with a world-class training programs. With PushPress, gyms can focus on what matters most—helping their members become the best versions of themselves. Thousands of gyms and fitness studios rely on PushPress daily to power their businesses. We believe that by empowering neighborhood gyms with the most advanced, technology, we can transform the fitness experience and help create a healthier world.

PushPress is a 100% remote company.

PushPress, at its core, is a technology company. We are building an elite engineering team that thrives on innovation, collaboration, and a passion for creating cutting-edge solutions. We are seeking talented full-stack engineers, mobile engineers, site reliability engineers, data scientists, and data engineers who possess a diverse set of technical skills and are excited to be part of our early story. Our ideal candidate embodies a strong ownership mindset, is highly cross-functional, adaptable, and thinks beyond the conventional boundaries of their role.

PushPress Data is the heartbeat of our growth strategy, empowering our teams, customers, and partners with unparalleled insights and thought leadership. Our data team plays a pivotal role in driving analytics into our go-to-market and R&D investments, while also embedding powerful reporting into our customer-facing products. This enables gym owners to make decisions that optimize their business performance, from predicting membership churn to identifying upsell opportunities. Our data scientists and data engineers collaborate closely with our executive team and customers to integrate analytics into the core of our strategic decision-making process.

What You'll Do

• Collaborate with business stakeholders, product managers, and engineers to identify opportunities for leveraging data to drive business value.
• Design and implement advanced analytics models to solve complex business problems and improve decision-making.
• Conduct exploratory data analysis to uncover insights, patterns, and trends, and communicate findings to stakeholders through clear visualizations and reports.
• Contribute to building a robust data infrastructure by working closely with data engineers to define core data models, ensure data quality, and create a single, unified customer view.
• Leverage data from multiple sources, including third-party vendor tools, to build comprehensive analytics solutions that drive business growth.
• Continuously monitor and optimize the performance of deployed models, ensuring their reliability, accuracy, and business impact.

What You Need

• A minimum of 3 years of experience in data science or a related field, with a strong foundation in statistics, machine learning, and data mining techniques.
• Proficiency in statistical programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with large datasets, data warehouses, and data lakes.
• Excellent problem-solving skills and the ability to design and implement efficient, scalable, and pragmatic data science solutions.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Optional: Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Physics) and experience with deep learning, natural language processing, or computer vision techniques.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (Company Sponsored 401k with Match)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Equity Incentive Plan
• Company Issued Laptop
• Work From Home Stipend