Data Scientist III

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and validate predictive models, machine learning models, and artificial intelligence solutions that enhance operational, clinical, financial, and marketing business processes.

• Develop, maintain, and communicate analytical plans for projects.

• Manage progress across multiple simultaneous projects.

• Present models and analyses to management effectively.

• Mentor junior Data Scientists who are new or in development.

• Mine and analyze extensive structured and unstructured datasets.

• Utilize a diverse array of data sources to create algorithms for risk prediction, understanding risk drivers, detecting outliers, and related applications.

• Create visualizations that demonstrate the effectiveness of algorithms.

• Conduct statistical validation and analysis of outcomes related to clinical programs and interventions.

• Innovate models that position CareSource as a leader in advanced healthcare analytics.

• Assess new software and tools to enhance data science capabilities.

• Lead collaborative efforts with other teams to integrate solutions.

• Convey results and concepts to key stakeholders.

• Prepare code for the operationalization of end-to-end model pipelines and business deliverables.

• Perform additional job duties as requested.

⛳️ Requirements

• A Bachelor’s Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field, or equivalent years of relevant work experience is required.

• At least five (5) years of experience in data analysis and/or analytic programming is required.

• Familiarity with cloud services such as Azure, AWS, or GCP and modern data stack tools such as Databricks or Snowflakes is required.

• Expert knowledge of a scientific programming language like Python or R and SQL.

• Experience in developing reports or dashboards using Power BI or other business intelligence tools.

• Ability to perform basic statistical analyses and techniques, including A/B testing, general significance testing, and sampling methodologies.

• Extensive understanding of predictive modeling and machine learning algorithms, including generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction, and natural language processing.

• Proficient in feature engineering techniques and exploratory data analysis.

• Working knowledge of optimization techniques and artificial intelligence methods.

• Ability to analyze large volumes of information and identify patterns, irregularities, and deficiencies.

• Proven analytical skills in resolving multi-dimensional problems and experience in creating reports, projections, models, and presenting to business stakeholders.

• Comfortable reading academic research papers and applying their findings in models.

• Proficient in MS Office (Excel, PowerPoint, Word, Access).

• Demonstrated critical thinking, verbal communication, presentation, and written communication skills.

• Ability to work independently as well as collaboratively in a cross-functional team environment.

🏝️ Benefits

• Bonus linked to company and individual performance may be available.

• Comprehensive and substantial total rewards package.

• Employee total well-being support.