Lead Data Scientist | Remote – GA, LA, OK, TN or TX

Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas

Primary Business Location: Houston, Texas

Work Arrangement: Fully remote within an approved state

Employment Type: Full-time, permanent

Industry: Healthcare and Health Technology

Experience Level: Experienced Individual Contributor / Technical Lead

Reports To: Manager, Data Science

Base Salary: $143,000–$180,000

Travel: Up to 20%

Relocation Assistance: Not available

Visa Sponsorship: Limited sponsorship may be considered

Position Overview

A leading healthcare organization is seeking an experienced Lead Data Scientist to lead high-priority analytical projects and solve complex organizational challenges using advanced statistical analysis, machine learning, predictive modeling and data visualization.

This is a hands-on technical leadership position. The successful candidate will remain actively involved in data exploration, model development, testing and interpretation while guiding projects, partnering with internal customers and mentoring other data scientists.

Key Responsibilities

• Lead analysis of complex structured and unstructured datasets.

• Develop, test, validate and maintain machine-learning and predictive models.

• Apply regression, time-series forecasting, classification, clustering, decision trees, neural networks, A/B testing and hypothesis testing.

• Evaluate model accuracy, stability, interpretability and fitness for purpose.

• Document methodologies, assumptions, limitations and validation results.

• Research and resolve data-quality problems across incomplete or inconsistent sources.

• Build repeatable analytical processes and production-ready solutions.

• Translate complex findings into clear recommendations for technical teams, business leaders and executives.

• Lead projects from discovery through modeling, implementation and measurement.

• Mentor data scientists and raise technical standards across the team.

• Partner with engineering, analytics, clinical and operational stakeholders.

• Support responsible and practical use of advanced analytics within healthcare.

Required Qualifications

• Advanced degree or equivalent experience in data science, statistics, mathematics, computer science, engineering, economics or a related quantitative discipline.

• Extensive professional data-science and advanced-analytics experience.

• Expert knowledge of statistical analysis, machine learning and predictive modeling.

• Strong programming experience using Python, R, SQL or comparable tools.

• Experience working with large, complex datasets and resolving data-quality issues.

• Ability to explain sophisticated concepts clearly to non-technical audiences.

• Strong project leadership, consulting and stakeholder-management skills.

• Ability to remain hands-on while leading technical delivery.

• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.

Preferred Qualifications

• Healthcare or health-technology experience.

• Experience deploying and monitoring models in production environments.

• Cloud analytics, distributed-computing or big-data experience.

• Experience mentoring technical professionals and leading cross-functional projects.

• Knowledge of data governance, privacy and responsible AI practices.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.

Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

Senior Technical Lead, Architecture – Enterprise Risk Delivery

📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus

Overview

A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.

This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design enterprise-scale, secure, and scalable solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns, and best practices.

• Ensure long-term scalability, maintainability, and resilience of enterprise platforms.

Technical Leadership

• Provide technical leadership across engineering, architecture, and product teams.

• Mentor engineering teams and influence technical direction.

• Conduct architecture reviews and provide guidance on complex technical decisions.

• Balance innovation, delivery speed, and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting:

• Financial Risk

• Non-Financial Risk

• Financial Crimes

• Regulatory Compliance

• Enable enterprise data integration and risk analytics.

• Support regulatory compliance through modern technology solutions.

Cloud & Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization initiatives across distributed systems.

• Lead API-first, microservices-based architecture strategies.

• Support enterprise AI and Generative AI initiatives.

Stakeholder Collaboration

• Partner with business leaders to translate requirements into technical solutions.

• Collaborate with enterprise architecture, security, data, and engineering organizations.

• Influence executive stakeholders through clear technical communication.

• Evaluate emerging technologies aligned with strategic business goals.

Required Qualifications

Education

• Bachelor's Degree in Computer Science, Engineering, or a related discipline.

• Master's Degree preferred.

Experience

✔ 10+ years of software engineering experience.

✔ 8+ years in architecture or senior technical leadership.

✔ 15+ years of overall technology experience preferred.

✔ Experience leading large-scale enterprise architecture initiatives.

✔ Experience within highly regulated industries such as:

• Financial Services

• Banking

• Mortgage

• Healthcare

Technical Expertise

Enterprise Architecture

• Solution Architecture

• Enterprise Architecture

• Microservices Architecture

• API Design & Integration

• Integration Patterns

• Micro Frontends

• Twelve-Factor Application Design

Cloud Platforms

• AWS (Preferred)

• Microsoft Azure

• Google Cloud Platform (GCP)

Modern Technologies

• Kubernetes

• Kafka

• Java

• Python

• Angular

DevOps & Engineering

• CI/CD

• DevOps Practices

• Agile Methodologies

• Enterprise Platform Engineering

Artificial Intelligence

• Generative AI (GenAI)

• AI Solution Design

• Enterprise AI Integration

Preferred Qualifications

• Experience within the mortgage or housing finance industry.

• Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).

• Experience leading enterprise digital transformation initiatives.

• Background in enterprise data platforms and analytics.

• Experience supporting regulatory technology solutions.

Must-Have Skills

Architecture

• Enterprise Solution Architecture

• Cloud Architecture

• Microservices

• API Architecture

• Enterprise Integration

Cloud & Infrastructure

• AWS (Preferred)

• Azure or GCP

• Kubernetes

• Kafka

Development

• Java

• Python

• Angular

Leadership

• Technical Leadership

• Enterprise Strategy

• Executive Communication

• Cross-Functional Collaboration

• Architecture Governance

Modern Engineering

• CI/CD

• DevOps

• Agile Delivery

• AI / GenAI

Screening Questions

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. Are you comfortable working onsite in McLean, VA with limited remote flexibility?

Ideal Candidate Profile

The ideal candidate will:

• Be an experienced enterprise architect with deep technical expertise.

• Have successfully led architecture strategy across complex enterprise environments.

• Possess extensive cloud architecture experience, particularly with AWS.

• Demonstrate expertise in modern software engineering, APIs, and microservices.

• Have experience delivering technology within highly regulated industries.

• Be comfortable influencing executives and senior business stakeholders.

• Mentor engineering teams while remaining hands-on with architectural decision-making.

• Drive innovation through cloud modernization, DevOps, and AI technologies.

Candidate Snapshot

Requirement

Details

Experience

15+ Years Overall Technology Experience

Leadership

Director-Level Individual Contributor

Architecture

Enterprise Solution Architecture

Cloud

AWS (Preferred), Azure, GCP

Technologies

Kubernetes, Kafka, Java, Python, Angular

Engineering

Microservices, APIs, DevOps, CI/CD

Industry

Financial Services / Highly Regulated Environment

AI

GenAI & Enterprise AI Solutions

Location

McLean, VA

Work Arrangement

Primarily Onsite (Up to 6 Remote Weeks Per Year)

Compensation

$210K – $230K + Bonus

Relocation

Available for Exceptional Candidates

What Makes Someone Successful in This Role?

• Deep expertise in enterprise architecture and cloud-native solution design.

• Strong leadership while operating as a hands-on technical contributor.

• Ability to translate complex business challenges into scalable technical solutions.

• Experience driving enterprise modernization and digital transformation.

• Strong understanding of risk, compliance, and secure architecture within regulated industries.

• Exceptional communication skills with both executive leadership and engineering teams.

• Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.

CTO Co-Founder – Healthcare Payments AI Startup – New York, NY

CTO Co-Founder – Healthcare Payments AI Startup

📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity

Overview

A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.

The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.

Key Responsibilities

Technology & Product Leadership

• Own the technology vision, architecture, and engineering roadmap.

• Build and launch the company’s initial MVP and commercial platform.

• Evaluate and select the technology stack and infrastructure.

• Design secure, scalable systems for healthcare payment and claims workflows.

AI & Workflow Automation

• Build AI-driven workflow automation and operational intelligence capabilities.

• Develop data ingestion, normalization, and decision-support solutions.

• Implement automation for claims, reimbursement, reconciliation, and payment processes.

Engineering Leadership

• Recruit, hire, and lead the founding engineering team.

• Establish development standards, processes, and engineering culture.

• Drive execution from concept through production deployment.

Strategic Collaboration

• Work directly with the CEO, investors, advisors, and early customers.

• Translate customer needs into scalable technical solutions.

• Support fundraising, product strategy, and commercial growth initiatives.

Required Qualifications

Experience

✔ 0-to-1 Product Development Experience

✔ Hands-On Software Engineering & Architecture

✔ AI / ML & Workflow Automation

✔ Engineering Team Leadership

✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience

✔ 10+ Years of Technical Experience

Education

• Bachelor's Degree in Computer Science, Engineering, or related field.

• Graduate of a top-tier university strongly preferred.

Preferred Backgrounds

• Healthcare Technology

• Revenue Cycle Management (RCM)

• Claims Processing Platforms

• Payments & FinTech

• AI Workflow Automation

• Enterprise SaaS

• Data Infrastructure

• Healthcare Interoperability

Ideal Candidate

The ideal candidate is a builder-first technical leader who has:

• Personally built and launched software products from MVP to production.

• Experience operating in startups or high-growth environments.

• Strong software architecture and coding skills.

• Experience developing AI-powered products or automation platforms.

• Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.

• Experience recruiting and leading engineering teams.

• Ability to communicate effectively with customers, executives, and investors.

Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.

Candidate Snapshot

Requirement

Details

Level

CTO / Co-Founder

Experience

10+ Years

Location

New York, NY (Onsite)

Industry

Healthcare AI / FinTech

Education

Bachelor's Degree Required

Equity

15–20%

Relocation

No

Sponsorship

No

Screening Questions

1. Have you personally built and launched a software product from MVP to production?

2. Describe your experience leading 0-to-1 product development initiatives.

3. What AI, machine learning, or workflow automation products have you built?

4. Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?

5. Have you recruited and led engineering teams in a startup or high-growth environment?

6. What programming languages, frameworks, and cloud technologies have you used to build scalable products?

7. Are you comfortable being a hands-on contributor while also leading the engineering organization?

8. Are you able to work onsite in New York City?

What Makes Someone Successful in This Role?

• Founder mentality and bias toward action.

• Strong technical depth with hands-on coding capability.

• Experience building products in regulated, transaction-heavy environments.

• Ability to move quickly from concept to commercial product.

• Strong communication skills with both technical and non-technical stakeholders.

• Passion for using AI to solve complex operational challenges.

• Desire to build and scale a company, not just a technology platform.

Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

• Champion responsible AI practices (governance, risk mitigation, ethics).

• Deliver measurable business outcomes from AI investments.

• Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

• Partner with business leaders to identify and accelerate AI opportunities.

• Translate complex AI concepts into business-focused narratives for executives.

• Provide strategic oversight of AI product delivery (scope, timeline, budget).

• Champion innovation, continuous improvement, and AI adoption across the business.

• Develop a community of practice for global data scientists to drive reuse and alignment.

• Build and maintain strategic partnerships and alliances to maximize value.

• Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.

• Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

• Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).

• 8+ years of related work experience.

• Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.

• Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.

• 5+ years of leadership experience (managing teams of data scientists).

• Experience driving enterprise-wide analytics adoption.

• Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.

• Background in software development/version control.

• Strong business acumen and experience presenting to senior executives.

• Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

• 7–10+ years’ experience in AI, Data Science, and Analytics.

• Proven ability as a strategic champion to drive AI adoption at scale.

• Leadership experience managing diverse data science teams.

• Strong emotional intelligence (EQ) and collaborative leadership style.

• Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

• Lead platform upgrades to ensure products remain cutting-edge and effective.

• Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

• Optimize data pipelines and access patterns for performance and scalability.

• Troubleshoot and resolve runtime and performance challenges.

• Architect robust, scalable, and user-friendly applications designed for long-term growth.

• Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

• Languages & Tools: Python (primary), Docker, Git

• Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

• Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

• Experience in defense-related applications.

• Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

• Strong written and verbal communication.

• Pragmatic approach with a focus on delivering incremental value.

• Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.