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Professional Consultant - Remote

Remote / Online - Candidates ideally in
Fresno, Fresno County, California, 93650, USA
Listing for: Genesis10
Remote/Work from Home position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 40 - 42 USD Hourly USD 40.00 42.00 HOUR
Job Description & How to Apply Below

Genesis
10 is currently seeking a Data Scientist for a fully remote position with a Major Healthcare Company located in Irvine, CA. This is a 12+ month contract opportunity. This is a 100% remote position.

Compensation: $40.00 - $42.00 per hour, W2, based on experience and qualifications

Position Overview

Technical & Solution Leadership:
Own and lead end‑to‑end AI/ML solution architecture for multiple Medicare Risk Adjustment initiatives spanning predictive modeling, NLP, GenAI, and operational analytics.

Primary Responsibilities
  • Define analytics and AI strategy for assigned problem areas, ensuring scalability, robustness, regulatory compliance, and measurable business impact
  • Drive design decisions across data ingestion, feature engineering, model selection, evaluation, deployment, and monitoring
  • Establish and enforce engineering, modeling, and MLOps best practices across data science solutions
  • Advanced AI / ML & GenAI Innovation:
    Lead development of advanced ML, deep learning, and LLM‑based solutions (e.g., clinical reasoning, evidence extraction, summarization, coding intelligence)
  • Evaluate and operationalize emerging AI approaches (agentic workflows, hybrid ML + rules, LLM orchestration, model ensembles)
  • Ensure responsible AI usage—model explainability, bias monitoring, auditability, and CMS compliance
  • People & Capability Leadership:
    Lead, mentor, and coach senior and junior data scientists, building strong technical depth and domain expertise within the team
  • Set technical direction, conduct design reviews, and guide complex problem solving
  • Support hiring, onboarding, and performance development for data science talent
  • Stakeholder Partnership & Executive Influence:
    Act as a primary AI/ML advisor to senior business, clinical, and technology leaders
  • Translate complex analytics outcomes into clear, executive‑level insights, risks, and recommendations
  • Partner with product, engineering, and operations teams to ensure successful adoption and downstream impact of AI solutions
  • Platform & Innovation:
    Drive adoption of cloud‑native, big‑data, and MLOps frameworks across Python, Spark, Hive, Databricks, and cloud platforms
  • Own model lifecycle management, including versioning, performance tracking, drift detection, and continuous improvement
  • Ensure solutions meet enterprise standards for reliability, security, and scalability
Core Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field from a reputed institution
  • Experience: Around 6 years of experience in Data Science, AI/ML, or Advanced Analytics. Demonstrated experience leading complex, production‑grade AI/ML systems at scale
  • Prior experience mentoring or leading data scientists (formal or informal)
  • Core Technical Expertise: Expert proficiency in Python and Py Spark
  • Deep hands‑on experience with Spark, Hive, distributed data processing, and cloud platforms
  • Strong command of ML algorithms, ensemble methods, and advanced feature engineering
  • Proven hands‑on experience with deep learning frameworks (PyTorch and/or Tensor Flow)
  • Strong working knowledge of LLMs and Generative AI, including prompt design, orchestration, and evaluation
  • NLP & Healthcare Analytics
  • Extensive experience with NLP/NLU (NER, summarization, classification, entity extraction), preferably on clinical or healthcare data
  • Strong understanding of statistical modeling, experimentation, and model validation. Leadership & Professional Skills
  • Proven ability to drive ambiguity to clarity and own outcomes
  • Strong executive communication and storytelling skills
  • Ability to balance hands‑on technical depth with strategic leadership
  • Demonstrated ownership mindset with high accountability and bias for action
  • Domain Expertise (Strongly Preferred)
  • Deep understanding of Medicare Risk Adjustment and CMS programs
  • Hands‑on experience with CMS datasets (MMR, MOR, EDPS, Encounter data). Experience working with clinical, coding, or claims data in healthcare environments
Benefits (Contract)
  • Access to hundreds of clients, most who have been working with Genesis
    10 for 5‑20+ years
  • The opportunity to have a career‑home in Genesis
    10; many of our…
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