Data Scientist I: Predictive ML & Analytics

CareSource; United States; On-site; USD 72,000 - 116,000; Full time

Job summary

CareSource is seeking a Data Scientist I to design and validate predictive models, machine learning models, and AI to inform and improve business processes across the organization. The role involves collaborating with multiple teams to develop, validate, and operationalize data-driven solutions.

The position requires a Bachelor's degree in a related field and experience with SQL, Python or R, and cloud platforms such as Azure, AWS, or GCP.

Qualifications

• Bachelor's degree in data science, mathematics, statistics, engineering, computer science, or related field required.
• Equivalent years of relevant work experience may be accepted in lieu of required education.
• Experience with cloud services (Azure, AWS or GCP) and modern data stack (Databricks or Snowflake) preferred.

Responsibilities

• Support the creation, maintenance, and communication of an analytical plan for data science projects.
• Assist in mining and analyzing large structured and unstructured datasets.
• Develop algorithms for predicting risk and understanding drivers, detecting outliers, etc.
• Support the development of visualizations that demonstrate the efficacy of developed algorithms.
• 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.

Skills

SQL

Python or R

Power BI

Education

Bachelor's degree in data science or related field

Tools

Databricks

Snowflake

Cloud services (Azure/AWS/GCP)

Job description

CareSource is seeking a Data Scientist I to design and validate predictive models, machine learning models, and AI to inform and improve business processes across the organization. The role involves collaborating with multiple teams to develop, validate, and operationalize data-driven solutions.

The position requires a Bachelor's degree in a related field and experience with SQL, Python or R, and cloud platforms such as Azure, AWS, or GCP.