Data Scientist II

Job Summary:
The Data Scientist II is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).
Essential Functions:

Create, maintain, and communicate an analytical plan for each project

Mine and analyze large structured and unstructured datasets

Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc.

Develop visualizations that demonstrate the efficacy of developed algorithms

Provide statistical validation and analysis of outcomes associated with clinical programs and interventions

Collaborate with other teams to integrate with existing solutions

Communicate results and ideas to key stakeholders

Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption

Perform any other job duties as requested

Education and Experience:

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

Minimum of three (3) years of experience in data analysis and/or analytic programming required

Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is preferred

Healthcare experience is preferred

Competencies, Knowledge, and Skills:

Proficient in SQL and at least one of the following programming languages: Python or R

Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications

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

Working knowledge of predictive modeling and machine learning algorithms such as 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

Familiarity with optimization techniques and artificial intelligence methods

Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies

Proficient with MS office (Excel, PowerPoint, Word, Access)

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

Ability to work independently and within a cross-functional team environment

Licensure and Certification:
None

Working Conditions:
General office environment; may be required to sit or stand for extended periods of time

Compensation Range:
$83,000.00 - $132,800.00CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
SalaryOrganization Level Competencies

Fostering a Collaborative Workplace Culture

Cultivate Partnerships

Develop Self and Others

Drive Execution

Influence Others

Pursue Personal Excellence

Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
Brand=CareSourceOriginally posted on Himalayas