Data Scientist I

Role Overview

Support the design and validation of predictive models, machine learning models, and artificial intelligence to inform and improve business processes across the organization.

What You Will Do

Support the creation, maintenance, and communication of an analytical plan for data science projects, mine and analyze large structured and unstructured datasets, and develop algorithms for predicting risk and understanding drivers.

Why It Might Be a Fit

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, and communicate results and ideas to key stakeholders.

Requirements

• Bachelor’s degree in data science, mathematics, statistics, engineering, computer science, or other related field
• Experience with cloud services (such as Azure, AWS, or GCP) and modern data stack (such as Databricks or Snowflakes) preferred
• Familiarity with SQL and at least one of the following programming languages: Python or R
• 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 leaning 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
• 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

• Dental insurance
• Vision insurance
• Bonus tied to company and individual performance
• Comprehensive total rewards package

Tagged as: Data Analysis, Excel, Python, Snowflake, SQL