Professional Consultant - Remote
Remote / Online - Candidates ideally in
Fresno, Fresno County, California, 93650, USA
Listed on 2026-07-18
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
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 OverviewTechnical & 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.
- 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
- 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
- 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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