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Postdoc Data Science Remote Jobs in Kentucky (NOW HIRING)

Aquent

Lead Data Scientist

Lexington, KY · On-site +1

$180K - $200K/yr

Enterprise AI Location: 100% Remote Sponsorship: Available for exceptional candidates About the Role We are seeking a highly experienced Lead Data Scientist to join our Enterprise AI organization and ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Louisville, KY · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Louisville, KY · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

BrightSpring

Senior Data Modeler

Louisville, KY · Remote

Bachelor's degree in Computer Science, Information Systems, Data Management, or related field (or ... Ability to orchestrate and influence remote teams, ensuring successful implementation of complex ...

Bluelight Consulting

$94.90K - $113.90K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent ... Azure Data Engineer) being a plus. * Proven experience in ETL data engineering with significant ...

Bluelight Consulting

$94.90K - $113.90K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent ... Azure Data Engineer) being a plus. * Proven experience in ETL data engineering with significant ...

PNC Bank

Fraud Model Analyst

Louisville, KY · On-site +1

$45K - $103.50K/yr

... Data Science, Statistics and Data Analytics Graph Database experience Data Correlation and Visualization This position may be eligible for remote work in select geographic locations, subject to ...

Deloitte

GCP Manager

Louisville, KY · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104.80K - $125.80K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience * 5+ years of experience in data engineering or business intelligence ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104.80K - $125.80K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience * 5+ years of experience in data engineering or business intelligence ...

Toloka

Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Israel ... Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related ...

Deloitte

Databricks Engineer

Louisville, KY · On-site +1

Work with delivery teams, data science teams, and client stakeholders to troubleshoot issues ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Postdoc Data Science Remote information

What are the key skills and qualifications needed to thrive as a Postdoc Data Science Remote, and why are they important?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote Postdoc Data Scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is a Postdoc Data Science Remote position?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Kentucky? For Postdoc Data Science Remote jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Kentucky look for? The top searched job categories for Postdoc Data Science Remote jobs in Kentucky are:
What cities in Kentucky are hiring for Postdoc Data Science Remote jobs? Cities in Kentucky with the most Postdoc Data Science Remote job openings:
Postdoc Data Science Remote jobs near you
Lead Data Scientist

Lead Data Scientist

Aquent

Lexington, KY • On-site, Remote

$180K - $200K/yr

Temporary

Posted 4 days ago

Job description

Placement Type:
Permanent
Salary:
$180,000-200,000 Salary
Start Date:
Mar 30, 2026
Lead Data Scientist, Autonomous Goal Management
Job Type: Permanent / Full-Time
Department: Enterprise AI
Location: 100% Remote
Sponsorship: Available for exceptional candidates
About the Role
We are seeking a highly experienced Lead Data Scientist to join our Enterprise AI organization and lead the development of advanced capabilities in autonomous goal management and agentic AI systems.
This is a high-impact individual contributor leadership role responsible for architecting and delivering production-grade AI systems that leverage Reinforcement Learning (RL) to enable intelligent agents capable of dynamic planning, autonomous decision-making, and goal decomposition in complex enterprise environments.
The ideal candidate has a proven track record of taking RL-driven agentic AI solutions from proof-of-concept to production, particularly within regulated industries such as healthcare, finance, defense, or aerospace.
This role requires both deep technical expertise and the ability to drive initiatives with minimal supervision, collaborate cross-functionally, and mentor junior scientists within a fast-moving AI organization.
Key Responsibilities
  • Lead the design and development of autonomous goal management frameworks for enterprise AI systems
  • Build and deploy production-ready Reinforcement Learning solutions for agentic AI applications
  • Architect dynamic planning and execution systems that support autonomous agents in complex workflows
  • Design goal decomposition, task orchestration, and adaptive decision frameworks
  • Develop robust evaluation, monitoring, and safety protocols to ensure agent reliability and alignment with business objectives
  • Translate cutting-edge AI/ML research into scalable production systems
  • Partner cross-functionally with data science, software engineering, product, and business stakeholders
  • Drive technical direction and decision-making with minimal hand-holding
  • Mentor junior data scientists and provide technical leadership across projects
  • Facilitate alignment across teams on architecture, implementation, and delivery strategy
  • Contribute to enterprise-wide AI capability development and innovation initiatives

Required Qualifications
  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related field
  • 4+ years of experience in AI/ML research, data science, or ML engineering
  • 2+ years leading advanced AI/ML systems or serving in a technical lead capacity
  • Demonstrated experience applying Reinforcement Learning to agentic AI systems in production
  • Proven success moving AI solutions from research prototype / POC to live production environments
  • Strong expertise in autonomous goal management and dynamic planning systems
  • Advanced Python programming skills
  • Strong hands-on experience with core ML frameworks such as:
    • PyTorch
    • JAX
    • TensorFlow (preferred but optional)
  • Experience with:
    • Model-based RL
    • Symbolic planning
    • Causal reasoning
    • Agent orchestration frameworks (e.g. LangChain, custom agent frameworks)
  • Experience designing scalable ML pipelines and production infrastructure
  • Strong software engineering fundamentals and system design capabilities

Preferred Qualifications
  • Experience within regulated industries, especially healthcare, finance, defense, or aerospace
  • Experience building safe and reliable autonomous systems
  • Familiarity with enterprise-scale ETL and high-performance ML systems
  • Experience with multi-agent systems and hierarchical planning frameworks
  • Strong background in experimentation, model evaluation, and performance monitoring

Leadership & Collaboration
This role is ideal for a highly autonomous technical leader who thrives in collaborative environments.
Success in this position requires:
  • Strong cross-functional communication
  • Ability to influence stakeholders across technical and non-technical teams
  • Comfort receiving and incorporating constructive feedback
  • Conflict mitigation and consensus-building skills
  • A mentoring mindset to support junior scientists

This is not a role for someone who prefers to work in isolation.
What Success Looks Like
In this role, you will:
  • Build enterprise-grade agentic AI capabilities
  • Establish frameworks for autonomous decision-making and planning
  • Lead the productionization of advanced RL systems
  • Drive measurable business impact through intelligent automation
  • Help shape the future direction of Enterprise AI initiatives

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