Data Scientist I

CareSource; Oregon; Hybrid; USD 72,000 - 116,000; Full time

Job summary

CareSource in Oregon is seeking a Data Scientist I to support the design and validation of predictive models, machine learning models, and AI initiatives that inform and improve business processes across operational, clinical, financial, and marketing areas.

You will mine large structured and unstructured data, develop algorithms to predict risk, create visualizations, validate outcomes, and collaborate with cross-functional teams to operationalize end-to-end model pipelines for business use.

Qualifications

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

Responsibilities

• Create, maintain, and communicate an analytical plan for data science projects.
• Mine and analyze large structured and unstructured datasets.
• Develop algorithms to predict risk and understand drivers.
• Create visualizations to demonstrate algorithm efficacy.
• Validate outcomes of clinical programs and interventions.
• Collaborate with teams to integrate solutions and communicate results.
• Prepare code for end-to-end model deployment.
• Stay updated on emerging technologies.
• Perform other duties as requested.

Skills

SQL

Python or R

Power BI

Statistics basics

ML concepts

NLP

Feature engineering

MS Office

Communication

Teamwork / cross-functional

Education

Bachelor's degree in data science, mathematics, statistics, engineering, computer science or related field

Equivalent years of relevant work experience may be accepted

Tools

Azure/AWS/GCP

Databricks

Snowflake

Job description

Job Summary

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.).

Essential Functions

• 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 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
• Researching and staying up-to-date on emerging technologies
• Perform any other job related duties as requested.

Education and Experience

• Bachelor's degree in data science, mathematics, statistics, engineering, computer science, 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

Competencies, Knowledge and Skills

• 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 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
• 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 methodsAbility 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

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

Compensation Range

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

CareSource 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)

Salary

Organization 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.