Data Scientist

Job Description:

• The Data Scientist will be responsible for conducting in-depth data analysis, building predictive models, and developing data-driven solutions to support strategic business decisions.
• This role requires a solid foundation in statistical techniques, strong programming skills, and the ability to communicate findings effectively to various stakeholders.

Responsibilities:

• Conduct exploratory data analysis to Client trends, patterns, and anomalies.
• Develop and implement statistical models for predictive and prescriptive analysis.
• Interpret and communicate data-driven insights to non-technical stakeholders.
• Clean and preprocess raw data to ensure accuracy and reliability.
• Work with large datasets from diverse sources and formats.
• Collaborate with data engineers to create and maintain data pipelines.
• Develop algorithms for solving complex business problems.
• Implement algorithms for pattern recognition, clustering, and classification.
• Collaborate with business analysts, data engineers, and other stakeholders to understand business requirements.
• Present findings and insights in a clear and understandable manner to both technical and non-technical audiences.

Requirement/Must Have:

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), master’s degree in IT field, or equivalent experience in Data Science.
• Proven experience as a Data Scientist or similar role.
• Fluent in Structured Query Language (SQL).
• Experience with Tableau and Power BI.
• Proficiency in statistical analysis and data visualization tools.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and collaboration skills.

Should Have:

• 5+ years working in an analytics position for a large-scale IT system.
• Working knowledge of healthcare programs (i.e., Medicaid).
• An understanding of healthcare enterprise systems (claims, finance, members, providers), with the ability to understand and communicate from a business and technical perspective.
• Knowledge of big data technologies and tools.

Qualification And Education:

• Bachelor’s or master’s degree in relevant fields.

Industry-recognized data science certifications preferred:

• Certified Analytics Professional (CAP)
• IBM Data Science Professional Certificate
• Microsoft Certified: Azure Data Scientist Associate
• SAS Certified AI and Machine Learning Professional
• SAS Certified Data Scientist

Skills:

• Experience with tools such as ArcGIS, Toad, SAS, SPSS, and RStudio