Senior Data Scientist @ Glo | Jobright.ai
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Senior Data Scientist jobs in Santa Monica, CA
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Glo · 14 hours ago

Senior Data Scientist

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Recommendation SystemsMachine LearningPythonRSQLBig Data ToolsTensorFlowPyTorchCollaborative FilteringNeural NetworksHybrid TechniquesAWS Cloud ServicesBehavioral ScienceStatistical Modeling

Required

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

Preferred

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

Benefits

Equity

Company

Glo

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Funding

Current Stage
Early Stage

Leadership Team

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Hogan L.
President & COO
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Lisa Brooks Mills
Chief Impact Officer
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