Manager/Senior Manager - Data Science
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Based in Thousand Oaks, California, with client-site attendance required 3–5 days per week. U.S. citizenship or authorization to work in the U.S. is required.
Salary: $119,500–$163,875 annually. The stated range is based on a primary work location in Berkeley Heights, New Jersey, and may vary by geographic location.
Company
provides cloud software and data analytics for the Life Sciences industry, including AI- and ML-driven solutions for commercial and patient healthcare outcomes.
What you will do
- Build and optimize ML models for pharmaceutical commercial use cases, including patient journey modeling, patient identification, treatment progression, churn prediction, HCP targeting, and Next Best Action.
- Develop deep learning and sequence models, including Transformers, LSTM/GRU, and attention-based architectures, for longitudinal patient journeys and temporal patterns.
- Design HCP- and patient-level datasets by integrating claims, laboratory, specialty pharmacy, hub, CRM, promotional, and sales data.
- Build end-to-end ML pipelines covering data engineering, model training, validation, monitoring, and deployment.
- Apply traditional ML techniques such as XGBoost and LightGBM, with model evaluation, benchmarking, and SHAP-based explainability.
- Translate analytical findings into actionable insights for brand, sales operations, and commercial stakeholders.
Requirements
- 5+ years of hands-on data science experience, preferably in U.S. pharma or biotech.
- Strong Python, PySpark, PyTorch or TensorFlow, and AWS or Azure skills.
- Practical experience with Transformer architectures and sequence modeling.
- Experience with Databricks, SQL, and MLflow for end-to-end ML pipelines.
- U.S. citizenship or authorization to work in the U.S.
- Ability to work at the client site in Thousand Oaks 3–5 days per week.
Culture & Benefits
- Hybrid work arrangement with regular client-site presence in Thousand Oaks.
- Work within a global Life Sciences technology and analytics organization operating across more than 30 countries.
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