[Hiring] Data Scientist I @CareSource

Role Description

The Data Scientist I is responsible for supporting the design and validation of predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).

• Support the creation, maintenance, and communication of an analytical plan for data science projects.
• Assist in mining and analyzing large structured and unstructured datasets.
• Employ a wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc.
• Support the development of visualizations that demonstrate the efficacy of developed algorithms.
• Contribute to statistical validation and analysis of outcomes associated with clinical programs and interventions under guidance.
• Collaborate with other teams to integrate with existing solutions.
• Communicate results and ideas to key stakeholders.
• Assist in preparing code for operationalization of end-to-end model pipeline and deliverable for business consumption.
• Research and stay up-to-date on emerging technologies.
• Perform any other job-related duties as requested.

Qualifications

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

Requirements

• Familiarity with 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 understand 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, and dimensionality reduction.
• Working knowledge of unsupervised and deep learning methodologies such as clustering, neural networks, and transformers.
• Working knowledge of natural language processing technologies such as optical character recognition, named entity recognition, visual learning models, and large language models.
• Working knowledge in NLP-specific feature extraction techniques such as tokenization, embeddings, and text-based transformations.
• Familiarity in feature engineering techniques and exploratory data analysis.
• Familiarity with optimization techniques and artificial intelligence methods.
• Ability to mine and analyze large quantities of structured and unstructured data 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.

Benefits

• Compensation Range: $72,200.00 - $115,500.00.
• 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.

Licensure and Certification

• None required.

Working Conditions

• General office environment; may be required to sit or stand for extended periods of time.
• Travel is not typically required.

Organization Level Competencies

• Fostering a Collaborative Workplace Culture.
• Cultivate Partnerships.
• Develop Self and Others.
• Drive Execution.
• Influence Others.
• Pursue Personal Excellence.
• Understand the Business.