🔍 Senior Data Scientist 🔍
🌐 Multiple Locations
📊 Data & Analytics Professional

Responsibilities…

• Work across client engagements, providing expertise in data collection, analysis, mapping, mining, and modeling.
• Inspect, cleanse, transform, and model data to address issues related to completeness and quality.
• Collaborate with software development teams to create best-in-class solutions for complex data challenges.
• Develop predictive and machine learning models from structured and unstructured data.
• Create training materials and support the development of monitoring procedures for models in production.
• Act as a subject matter expert to support business and technical stakeholders in generating solutions and requirements.

Required Experience and Education

• 5+ years of recent professional experience in data science, analytics, or healthcare analytics.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
• Proficiency in SQL, Python, R, and machine learning tools.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Ability to obtain a Public Trust security clearance.

Preferred Experience

• Previous experience with government clients or Microsoft Azure services.
• Exposure to metadata management and Agile methodologies.
• Strong communication skills and ability to work in a collaborative team environment.

📝 Important Note:
All company names, logos, and trademarks are the intellectual property of their respective owners. This information provides a general overview and may not encompass all responsibilities and qualifications required for the role.