đ Senior Data Scientist đ
đ Multiple Locations
đ Data & Analytics Professional
ResponsibilitiesâŠ
- 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.
đ 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.