ConsultNet Technology Services and Solutions
Jr. Data Scientist, Machine Learning - Remote
ConsultNet Technology Services and Solutions, South Jordan, Utah, United States, 84095
Overview
Title: Jr. Data Scientist, AI and Machine Learning Location: 100% Remote Target Start Date: ASAP Type: contract or contract to hire Pay Rate: DOE We're looking for an industry-leading Data Scientist focused on building production-level machine learning solutions. This role emphasizes applying ML/AI to real-world healthcare challenges—such as reducing costs and improving care quality. You will work with structured and unstructured data (claims, membership, provider info, medical records, etc.) using both on-premise and cloud-based big data infrastructure. Responsibilities
Partner with stakeholders (R&D, Operations, Product) to assess ML/AI-driven business opportunities and risks. Perform exploratory data analysis to validate hypotheses for use cases. Document methodology and results clearly to foster team collaboration. Develop, validate, and QA train ML models; collaborate with production operations for deployment and performance monitoring. Deliver end-to-end, value-driven solutions—covering data pipelines, model development, and user-facing applications. Engage in knowledge-sharing and platform design sessions to advance the data science framework. Provide solutions targeting payment integrity, cost reduction in audits, and quality-of-care improvements. Qualifications
Machine Learning & Modeling
Hands-on experience implementing machine learning solutions at scale in production environments. Experience with ML frameworks (e.g., Scikit-learn, PyTorch) and working with client, business-relevant datasets.
Big Data & Programming
Proficient in handling large datasets using Python, Scala/Spark, and leveraging cloud-based ML/AI tools. SQL proficiency (SQL Server, Oracle, Hive).
Statistical & Financial Analysis
Expertise in applying statistical methods to solve business problems and interpret outcomes. Ability to analyze healthcare trends (utilization, costs) and link them back to operational levers.
Consulting & Communication
Strong track record presenting data-driven insights across varying levels—from analysts to executives. Ability to operate effectively in dynamic, matrixed, or global team environments.
Healthcare Domain Knowledge
Familiarity with health insurance models, managed care principles, coding standards, claims adjudication, and fraud/waste/abuse processes.
Requirements
0-4 years of experience developing and deploying ML models in commercial or operational settings. Solid SQL and programming experience in Python, R, and/or Scala. Experience with distributed frameworks such as Spark. Strong adaptability, confidentiality handling, task prioritization, and collaboration skills.
Preferred (Nice-to-Have)
Experience with DevOps tools (Git, Jenkins, Jira). Commercial experience with deep learning (PyTorch), Generative AI, NLP. Hands-on with cloud/ML platforms (AWS, Azure, GCP, OCI, Databricks). U.S. health insurance industry experience.
Equal Opportunity
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law. About ConsultNet
ConsultNet Technology Services and Solutions, together with Tekne, SaltClick, TechBridge, and OmniMedia, provides technology talent and solutions across project services, contract‑to‑hire, direct placement, and managed services. We have over 25 years of experience partnering with a diverse client base and delivering high-performing teams that drive impact.
#J-18808-Ljbffr
Title: Jr. Data Scientist, AI and Machine Learning Location: 100% Remote Target Start Date: ASAP Type: contract or contract to hire Pay Rate: DOE We're looking for an industry-leading Data Scientist focused on building production-level machine learning solutions. This role emphasizes applying ML/AI to real-world healthcare challenges—such as reducing costs and improving care quality. You will work with structured and unstructured data (claims, membership, provider info, medical records, etc.) using both on-premise and cloud-based big data infrastructure. Responsibilities
Partner with stakeholders (R&D, Operations, Product) to assess ML/AI-driven business opportunities and risks. Perform exploratory data analysis to validate hypotheses for use cases. Document methodology and results clearly to foster team collaboration. Develop, validate, and QA train ML models; collaborate with production operations for deployment and performance monitoring. Deliver end-to-end, value-driven solutions—covering data pipelines, model development, and user-facing applications. Engage in knowledge-sharing and platform design sessions to advance the data science framework. Provide solutions targeting payment integrity, cost reduction in audits, and quality-of-care improvements. Qualifications
Machine Learning & Modeling
Hands-on experience implementing machine learning solutions at scale in production environments. Experience with ML frameworks (e.g., Scikit-learn, PyTorch) and working with client, business-relevant datasets.
Big Data & Programming
Proficient in handling large datasets using Python, Scala/Spark, and leveraging cloud-based ML/AI tools. SQL proficiency (SQL Server, Oracle, Hive).
Statistical & Financial Analysis
Expertise in applying statistical methods to solve business problems and interpret outcomes. Ability to analyze healthcare trends (utilization, costs) and link them back to operational levers.
Consulting & Communication
Strong track record presenting data-driven insights across varying levels—from analysts to executives. Ability to operate effectively in dynamic, matrixed, or global team environments.
Healthcare Domain Knowledge
Familiarity with health insurance models, managed care principles, coding standards, claims adjudication, and fraud/waste/abuse processes.
Requirements
0-4 years of experience developing and deploying ML models in commercial or operational settings. Solid SQL and programming experience in Python, R, and/or Scala. Experience with distributed frameworks such as Spark. Strong adaptability, confidentiality handling, task prioritization, and collaboration skills.
Preferred (Nice-to-Have)
Experience with DevOps tools (Git, Jenkins, Jira). Commercial experience with deep learning (PyTorch), Generative AI, NLP. Hands-on with cloud/ML platforms (AWS, Azure, GCP, OCI, Databricks). U.S. health insurance industry experience.
Equal Opportunity
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law. About ConsultNet
ConsultNet Technology Services and Solutions, together with Tekne, SaltClick, TechBridge, and OmniMedia, provides technology talent and solutions across project services, contract‑to‑hire, direct placement, and managed services. We have over 25 years of experience partnering with a diverse client base and delivering high-performing teams that drive impact.
#J-18808-Ljbffr