Data Scientist

Job Description:

• The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to solve business problems and improve outcomes across client.
• This role partners with business, product, engineering, and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to Client’s data security, governance, and architecture standards.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related field.
• Experience in data science, advanced analytics, or machine learning.
• Strong knowledge of:

• Python and/or R
• SQL
• Statistics and hypothesis testing
• Machine learning methods
• Data wrangling and feature engineering

• Experience working with cloud or enterprise analytics platforms.
• Ability to communicate technical results to non-technical stakeholders.
• Experience working with cross-functional teams in a regulated or enterprise environment.

Preferred Qualifications

• Experience with Databricks, Spark, or large-scale distributed data platforms.
• Experience in healthcare, payer, claims, member, provider, or clinical analytics.
• Familiarity with MLOps, model governance, and production model deployment.
• Experience with BI and visualization tools such as Power BI or Tableau.

Technical Skills

• Programming: Python, R, SQL
• Data Platforms: Databricks, Spark, cloud data platforms
• Modeling: regression, classification, clustering, time series, NLP, experimentation
• Visualization: dashboards, storytelling, exploratory analysis
• Data Management: data dictionaries, data models, schema awareness, governed datasets

Soft Skills

• Analytical thinking
• Problem solving
• Stakeholder communication
• Collaboration
• Documentation discipline
• Business acumen