Senior Data Scientist

Summary

Join Glo as a Senior Data Scientist - Recommendation Systems and lead the design and development of a cutting-edge recommendation engine for yoga, meditation, and Pilates content. This role requires deep expertise in machine learning and AI, strategic thinking, and collaboration with various teams. You will refine data infrastructure, design advanced models, and ensure the recommendation engine delivers high-quality experiences. The ideal candidate will partner with leadership, product managers, engineers, data scientists, and content creators. This is a remote position with potential for travel. Compensation is $150,000 - $180,000/year + equity.

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)
• 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

Responsibilities

• 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

Preferred Qualifications

• Familiarity with AWS cloud services
• Familiarity with behavioral science concepts and their application in personalization

Benefits

• Compensation: $150,000 - $180,000/year + equity
• Remote work