Data Scientist, Machine Learning - Remote

Title: 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. Rather than a research role, this position emphasizes applying ML/AI to real-world healthcare challenges-such as reducing costs and improving care quality. You'll 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 your 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 Scala/Spark, Python, 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 (contracting, policies, product structures).

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.

Minimum Requirements

• Master's degree (Statistics, Math, CS, or equivalent experience) with 7+ years in advanced statistical analytics and Big Data.
• At least 3 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, Google Cloud Platform, OCI, Databricks).
• U.S. health insurance industry experience.

Welcome to ConsultNet and the family of companies, Tekne, SaltClick, TechBridge, and OmniMedia. As a premier national provider of technology talent and solutions, our expertise spans across project services, contract-to-hire, direct placement, and managed services both onshore and nearshore.

Celebrating more than 25 years of partnership with a diverse client base, we've crafted rewarding opportunities for our consultants, fostering high-performing teams that deliver impactful results.

Over the last few years thousands of consultants have found their calling with us in roles that have made a meaningful impact on their lives, enhanced their career, challenged them, and propelled them towards achieving their personal and professional goals. At the ConsultNet family of companies, we believe effective communication is crucial in aligning the right job with your unique skills and professional aspirations. To us, it's all about the personal approach we take and the values we uphold.

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