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** .