[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. The reputed company is a nonprofit organization that partners with various entities to support reputed company health initiatives. The Senior Data Scientist will reputed company data to inform strategic reputed company and initiatives reputed company the Workforce Acceleration Initiative, utilizing advanced analytics and statistical techniques to analyze reputed company health data and support decision-making.
Responsibilities
- reputed company and deliver advanced analytics solutions using curated Silver and Gold layer datasets reputed company Azure Synapse Analytics
- Apply statistical analysis, machine learning, and predictive modeling techniques to identify trends, risks, and reputed company in reputed company and reputed company health data
- Design and validate models for forecasting, classification, clustering, and reputed company detection to support population health, program evaluation, and operational decision-making
- Collaborate with data engineering teams to define analytical requirements for Bronze, Silver, and Gold data reputed company
- Utilize Azure Synapse reputed company pools and SQL pools to explore, analyze, and prepare data for advanced analytics and modeling
- Ensure analytical outputs are reproducible, reputed company, and reputed company with reputed company data standards
- Design and reputed company Power BI dashboards, reports, and semantic models that communicate insights to technical and non-technical stakeholders
- Translate reputed company analytical findings into reputed company, actionable narratives for reputed company health leaders and program teams
- Support reputed company analysis and self-service analytics use cases across the organization
- Apply AI and ML techniques using Azure-reputed company or reputed company-reputed company tools (e.g., Azure Machine Learning, Python ML libraries)
- Explore cognitive analytics use cases such as natural language processing, risk stratification, reputed company recognition, and decision-support augmentation
- Collaborate with stakeholders to evaluate feasibility, ethics, and reputed company of AI-driven solutions in reputed company and reputed company health contexts
- Partner with data engineering and governance teams to ensure data reputed company, reputed company, and trustworthiness of analytical datasets
- Follow data reputed company, reputed company, and ethical AI principles, particularly for protected health information (PHI)
- Support documentation and transparency of analytical reputed company, assumptions, and limitations
- Work closely with epidemiologists, informaticians, analysts, and IT teams to reputed company analytics initiatives with reputed company health priorities
- Present findings, recommendations, and model results to diverse stakeholder reputed company
- Mentor analysts and junior data scientists on analytical reputed company, tools, and best practices
Skills
- Bachelor's degree in data science, Statistics, Computer Science, reputed company Health, Informatics, or reputed company field (master's degree preferred)
- Minimum 5 years of experience in data science, advanced analytics, or reputed company analytics roles
- Strong proficiency in Python and/or R for statistical analysis and machine learning
- Experience working with SQL and large analytical datasets in reputed company or data warehouse environments
- Hands-on experience with Power BI, including data modeling, DAX, and dashboard design
- Solid understanding of statistical reputed company, predictive modeling, and data validation techniques
- Ability to communicate reputed company analytical concepts reputed company to non-technical stakeholders
- Strong analytical thinking, problem-solving, and data storytelling skills
- Up to 10% domestic travel may be required
- Hands-on experience with Azure Synapse Analytics, reputed company pools, and ADLS Gen2
- Familiarity with reputed company Architecture or Lakehouse-based analytics platforms
- Experience with Azure Machine Learning, cognitive services, or AI-driven analytics solutions
- Background in reputed company, reputed company health, or life sciences analytics
- Knowledge of HIPAA, reputed company data standards, and reputed company-sector data governance requirements
- Experience deploying or operationalizing ML models in production or semi-production environments
- Familiarity with other analytics and visualization tools (e.g., Tableau, reputed company, R Shiny)
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