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Job description
We are looking for a skilled and innovative Data Scientist to join our analytics team. This role involves leveraging data to drive business insights, build predictive models, and support strategic decision-making. The ideal candidate is passionate about data, highly analytical, and experienced in machine learning and statistical modeling.
Key Responsibilities
Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Execute analytical experiments to help solve problems across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Implement analytical models in production by collaborating with software developers and machine-learning engineers
Required Qualifications
Education: Bachelor’s or Master’s in quantitative field such asData Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
Experience: 2–5 years of hands‑on experience building and deploying machine-learning solutions—especially recommender systems—in a SaaS or customer-facing environment
Technical Proficiency: Proficient in Python (or R) and ML frameworks (scikit-learn, TensorFlow, PyTorch); expertise with data tools (SQL, Spark, Airflow) and cloud platforms (AWS, GCP, Azure)
AI & Next-Gen Models: Demonstrated experience with embedding techniques, transformer-based models, and graph ML for large-scale recommendations
Preferred Qualifications
Fortune 500 company
LLM Proficiency: Hands-on experience leveraging large language models (e.g., GPT-4) for data augmentation, prompt engineering, or analytics automation
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Worksite address
los angeles, CA, 90079, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.