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293 results (4 new)

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Data Science Tech Lead/AI/ML Lead-Remote

Tekaccel, Inc

Texas • Today

Contract

$DOE

Intern, Data Science, Machine Learning & AI-Remote

American Heart Association

Remote or Dallas, Texas • Today

Part-time

USD 23.00 per hour

AI Tech Lead / Databricks / AWS Bedrock / Fully Remote

Motion Recruitment Partners, LLC

Remote or Chicago, Illinois • Today

Easy Apply

Contract

$70 - $85

Senior AI Solutions Engineer, Data Science, Penguin Random House (Open to Remote)

Bertelsmann

Remote or New York, New York • Today

Full-time

USD 180,000.00 - 220,000.00 per year

AI Tech Lead / REMOTE / Work-Life Balance

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$70 - $85

Tech Lead/Architect - Databricks Data Engineering & AI/ML

EazyML

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 154,900.00 - 193,600.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 20d ago

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Tempe, Arizona • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead Director, Data Science - Clinical AI

CVS Health

Remote or New York, New York • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer (Java background)- Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

AI Data Science - Manager | AI Coach - Remote - W2 Role

Magnum Technologies, Inc.

Remote • Today

Easy Apply

Contract

$70 - $75

AI Training Expert Data Science - (Contract - Remote)

Dice Talent & Staffing Solutions

Remote • 15d ago

Easy Apply

Full-time

$75 - $75

Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Remote :: AI Tech Lead (SAP GenAI + React)

Trail Blazer Consulting LLC

Remote • 16d ago

Easy Apply

Contract, Third Party

Senior Lead Software Engineer - Python, PySpark, Big Data, Data pipeline, ML/AI

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

AWS Data & AI Tech Lead

Buaut

Remote • 30+d ago

Easy Apply

Contract, Third Party

Depends on Experience

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$190,000 - $225,000

Lead AI/ML Engineer (Data Science) - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Program Delivery

Robustware

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Technical Program Manager - AI/ML & Robotics

NTT DATA Americas, Inc

Hybrid in Irving, Texas • 9d ago

Easy Apply

Contract

Depends on Experience

Data Engineer - ML/AI Data Platform (Remote)

FEI Systems

Remote or Columbia, Maryland • Today

Full-time

Technical Lead – AI/Data Engineering

J-RAM IT Consulting Inc.

Hybrid in Dallas, Texas • 9d ago

Easy Apply

Contract

Depends on Experience

Data Scientist Lead

HAN IT Staffing Inc.

Remote • Today

Easy Apply

Contract

60 - 65

Data Science Lead

UnivEdge Consulting LLC

Remote • Yesterday

Easy Apply

Contract

60 - 70

Lead Solutions Architect | AI/ML | Plano

Motion Recruitment Partners, LLC

Plano, Texas • Today

Easy Apply

Full-time

$160000 - $190000

Senior Data Scientist

Fiekon

Remote • 13d ago

Easy Apply

Full-time

Depends on Experience

Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Job Details

Skills

AI/ML
data scientist

Summary

Role: Data Science Tech Lead/AI/ML Lead
Location: Remote

What You'll Do

Own the problem & the outcome
Own the initiative end to end - from framing the problem to shipping a solution that measurably improves therapy persistence and intervention timing.
Partner with clinical product, operations, and business stakeholders to identify requirements, translate ambiguous clinical goals into a concrete technical problem statement, and define what success looks like.
Refine the modeling target beyond "predict any adverse event" toward the outcomes that matter - therapy discontinuation, serioclinically meaningful events, and intervention timing.
Design the solution
Lead solution design for the full ML lifecycle: data sourcing, feature engineering, modeling approach (including time-to-event / survival framing), evaluation, explainability, and deployment into clinical workflows.
Make sound build decisions across per-product modeling, concomitant-therapy effects, class imbalance, noisy labels, and point-in-time correctness.
Design for explainability and clinician trust - every prediction should be interpretable and actionable.
Drive delivery & lead the team
Break the work into iterative, demonstrable deliverables - prove value early (e.g., descriptive insights and a risk report) before full workflow integration.
Define milestones and roadmap, run daily standups, remove blockers, and hold the team and yourself accountable to committed dates.
Build the solution hands-on alongside data scientists and engineers, set the technical quality bar, and mentor/develop the team.
Manage stakeholders & navigate the organization
Manage expectations proactively - communicate what's feasible now vs. later, surface risk early, and renegotiate scope rather than silently slipping.
Navigate cross-team and political boundaries delicately, including dependencies on data-owning teams you don't control; build trust, escalate constructively, and keep relationships intact.
Communicate exceptionally well to both technical and non-technical audiences, including delivering honest assessments when the data or timeline demands it.

Required Qualifications

7+ years of data science and machine learning experience, delivering models that reached production or drove real business decisions.
3+ years leading machine learning or data science projects end to end - from problem framing through deployment.
3+ years working directly with business stakeholders and product owners: managing expectations, owning delivery, and driving a high-visibility workstream under tight deadlines.
Significant solution-design experience for building machine learning systems, not just individual models.
Strong hands-on expertise in Python and the modern ML/DL ecosystem.
Deep, practical understanding of machine learning and deep learning - able to choose the right approach and reason about tradeoffs, evaluation, and failure modes.
Experience with AWS and Databricks for building and deploying data/ML solutions at scale.
Experience working with healthcare data (and awareness of the associated data-quality, privacy, and governance realities).
Demonstrated leadership presence: self-motivated, driven to deliver results, and able to earn the confidence of both technical teams and senior stakeholders.

Preferred Qualifications

Experience in pharmacy, specialty pharmacy, or clinical/patient-outcomes domains, with working familiarity of the relevant datasets (therapy, dosing, adverse events, discontinuation, claims).
Familiarity with time-to-event / survival analysis and its application to intervention-timing problems.
Experience deploying models into clinical or operational workflows with human-in-the-loop decisioning and measurable outcome validation (e.g., controlled rollouts).
Exposure to Generative AI / agentic approaches and a pragmatic view of where they fit in a regulated setting.
Experience with data governance, PHI/HIPAA constraints, and model documentation in a regulated environment.
Familiarity with MLOps practices: feature stores, model monitoring, and reproducible pipelines.

Core Skills & Technologies

Python
Machine Learning
Deep Learning
AI / GenAI
AWS
Databricks
Spark
Survival Analysis
Model Explainability
MLOps
Healthcare Data
Solution Design

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91126533
Position Id: 2026-18583
Posted 23 hours ago

Fitment

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Remote or Bellevue, Washington

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Job Details

Skills

AI/ML
data scientist

Summary

Role: Data Science Tech Lead/AI/ML Lead
Location: Remote

What You'll Do

Own the problem & the outcome
Own the initiative end to end - from framing the problem to shipping a solution that measurably improves therapy persistence and intervention timing.
Partner with clinical product, operations, and business stakeholders to identify requirements, translate ambiguous clinical goals into a concrete technical problem statement, and define what success looks like.
Refine the modeling target beyond "predict any adverse event" toward the outcomes that matter - therapy discontinuation, serioclinically meaningful events, and intervention timing.
Design the solution
Lead solution design for the full ML lifecycle: data sourcing, feature engineering, modeling approach (including time-to-event / survival framing), evaluation, explainability, and deployment into clinical workflows.
Make sound build decisions across per-product modeling, concomitant-therapy effects, class imbalance, noisy labels, and point-in-time correctness.
Design for explainability and clinician trust - every prediction should be interpretable and actionable.
Drive delivery & lead the team
Break the work into iterative, demonstrable deliverables - prove value early (e.g., descriptive insights and a risk report) before full workflow integration.
Define milestones and roadmap, run daily standups, remove blockers, and hold the team and yourself accountable to committed dates.
Build the solution hands-on alongside data scientists and engineers, set the technical quality bar, and mentor/develop the team.
Manage stakeholders & navigate the organization
Manage expectations proactively - communicate what's feasible now vs. later, surface risk early, and renegotiate scope rather than silently slipping.
Navigate cross-team and political boundaries delicately, including dependencies on data-owning teams you don't control; build trust, escalate constructively, and keep relationships intact.
Communicate exceptionally well to both technical and non-technical audiences, including delivering honest assessments when the data or timeline demands it.

Required Qualifications

7+ years of data science and machine learning experience, delivering models that reached production or drove real business decisions.
3+ years leading machine learning or data science projects end to end - from problem framing through deployment.
3+ years working directly with business stakeholders and product owners: managing expectations, owning delivery, and driving a high-visibility workstream under tight deadlines.
Significant solution-design experience for building machine learning systems, not just individual models.
Strong hands-on expertise in Python and the modern ML/DL ecosystem.
Deep, practical understanding of machine learning and deep learning - able to choose the right approach and reason about tradeoffs, evaluation, and failure modes.
Experience with AWS and Databricks for building and deploying data/ML solutions at scale.
Experience working with healthcare data (and awareness of the associated data-quality, privacy, and governance realities).
Demonstrated leadership presence: self-motivated, driven to deliver results, and able to earn the confidence of both technical teams and senior stakeholders.

Preferred Qualifications

Experience in pharmacy, specialty pharmacy, or clinical/patient-outcomes domains, with working familiarity of the relevant datasets (therapy, dosing, adverse events, discontinuation, claims).
Familiarity with time-to-event / survival analysis and its application to intervention-timing problems.
Experience deploying models into clinical or operational workflows with human-in-the-loop decisioning and measurable outcome validation (e.g., controlled rollouts).
Exposure to Generative AI / agentic approaches and a pragmatic view of where they fit in a regulated setting.
Experience with data governance, PHI/HIPAA constraints, and model documentation in a regulated environment.
Familiarity with MLOps practices: feature stores, model monitoring, and reproducible pipelines.

Core Skills & Technologies

Python
Machine Learning
Deep Learning
AI / GenAI
AWS
Databricks
Spark
Survival Analysis
Model Explainability
MLOps
Healthcare Data
Solution Design

Dice Id: 91126533
Position Id: 2026-18583
Posted 23 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Data Science Lead

Remote

•

Yesterday

Easy Apply

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60 - 70

Data Science Lead

Remote or New York, New York

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Yesterday

Easy Apply

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Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

Remote or Tempe, Arizona

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Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Applied Scientist - Remote

Remote or Bellevue, Washington

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Full-time

USD 154,900.00 - 193,600.00 per year