Data Scientist - Data Modeling/analytics
Core
Develop and deploy advanced machine learning, statistical, Bayesian, and causal models to enhance forecasting capabilities and quantify uncertainty for business decision-making.
Role type
Senior Associate Data Scientist (Data Modeling/Analytics)
Builds
Decision-support solutions, simulation models, scenario-analysis capabilities, and AI-enabled dashboards/automated workflows.
Domain
Biotechnology / Healthcare
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, machine learning, predictive analytics, forecasting, statistics (hypothesis testing, descriptive), MLOps, data mining, simulation modeling, business problem translation
Preferred skills
TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD, AWS/Azure/GCP, Databricks, NLP, time-series analysis
Technologies
Python, SQL, TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, AWS, Azure, Google Cloud, Databricks
Responsibilities
Analyze large complex datasets using statistical modeling and forecasting; Contribute across the modeling lifecycle from problem framing to deployment and monitoring; Develop simulation and scenario-analysis models; Build custom applications, intelligent dashboards, and automated workflows; Collaborate with cross-functional teams on AI tool roadmaps; Ensure models meet SLA expectations with latest data.
Seniority
Mid-Senior, hands-on IC
