Data Scientist

Sr. Data Scientist

Hybrid | Woodland Hills, CA (3 days onsite)

We’re seeking a senior, hands-on Data Science leader who has a proven track record of
building machine learning models and deploying them into real-world production environments
. This role sits at the intersection of advanced analytics, personalization, and business impact—ideal for someone who balances strong modeling expertise with practical execution.

What You’ll Do

• Design and deploy predictive, forecasting, and recommendation models across B2C digital and offline channels
• Build and evolve personalization and Next Best Action (NBA) engines aligned to customer behavior and business goals
• Own the full ML lifecycle: data sourcing, feature engineering, model development, validation, deployment, and monitoring
• Partner closely with ML Engineers, IT, and business stakeholders to scale models into production systems
• Apply advanced analytics to customer journey data from lead generation through purchase and engagement
• Communicate insights clearly to technical and non-technical audiences

What We’re Looking For

• 8+ years of experience building and deploying ML models in production environments
• Strong background in predictive modeling, recommendation systems, and customer analytics (B2C)
• Proficiency in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience working in cloud environments (AWS or Azure) and data platforms such as Databricks
• Solid understanding of software engineering fundamentals, CI/CD, and model governance
• Familiarity with LLMs, RAG pipelines, and modern AI workflows is a plus
• Master’s or PhD in a quantitative field (emphasis on applied, not purely academic work)

This role is ideal for a data science leader who enjoys
shipping models, influencing strategy, and driving measurable business outcomes
.