Senior Data Scientist - Recommendation Systems

February 18

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

+3 more states

🏄 California – Remote 🐊 Florida – Remote ❄️ Minnesota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $150k - $180k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Glo

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Glo is a leading online platform for yoga and wellness, offering a vast array of classes and styles, including yoga, meditation, Pilates, and fitness. Founded in 2008, Glo provides users with daily live classes and over 8,000 on-demand sessions that can be accessed from anywhere, making wellness accessible and convenient. Users can choose from up to 18 different styles such as Vinyasa, Kundalini, and Barre, and engage with expert instructors to enhance their practice. Glo fosters a global community focused on mind and body wellness, providing personalized programs for all levels of practitioners. Its platform allows for a flexible, personalized wellness experience at home or on-the-go, available on any device.

11 - 50 employees

Founded 2008

🧘 Wellness

🛍️ eCommerce

👥 B2C

📋 Description

• Glo is seeking a visionary yet hands-on Senior Data Scientist - Recommendation Systems to lead the design and development of a cutting-edge recommendation engine. • Drive the vision, strategy, and execution of Glo’s recommendation engine, building the framework and roadmap to optimize user engagement and content discovery. • Design, prototype, and implement machine learning models for recommendation systems, including collaborative filtering, content-based filtering, and hybrid approaches, tailored to Glo’s unique content ecosystem. • Partner with leadership, product managers, engineers, and content creators to align technical solutions with user experience goals. • Analyze large datasets to uncover insights about user behavior and preferences, using these insights to refine recommendation algorithms and drive strategic decisions. • Ensure the scalability, efficiency, and effectiveness of recommendation models through continuous testing, tuning, and performance monitoring. • Mentor and provide guidance to team members on best practices in machine learning and data science, fostering an environment of innovation. • Define and monitor key metrics (e.g., precision, recall, engagement) to evaluate and iterate on the system’s performance. • Contribute to the long-term vision of Glo’s personalization capabilities, ensuring the recommendation engine evolves alongside user needs and company goals.

🎯 Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. • 5+ years of experience in data science roles with a focus on building recommendation systems or personalization engines. • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical modeling techniques. • Strong programming skills in Python or R, with experience using SQL and big data tools (e.g., Spark, Hadoop, Databricks). • Familiarity with AWS cloud services is a plus. • Experience building recommendation systems at scale, including collaborative filtering, neural networks, or hybrid techniques. • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. • Familiarity with behavioral science concepts and their application in personalization is a strong plus.