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At Home Data Scientist Risk Jobs in Kentucky (NOW HIRING)

That is the reality we are creating at Neara. We use advanced machine learning to create ... Neara provides network-scale structural, loading, and contextual data across complete overhead ...

... at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML ... roadmap! We focus on developing and maintaining predictive models that support all domains across ...

About Hut 8 Imagine the ultimate destination for those who want to work at the cutting edge of ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

... identify at-risk SLA performance periods, and support proactive operational decision making ... Ensure all data science solution development and deployment activities comply with applicable ...

New

$185K - $211K/yr

About Wealthfront Here at Wealthfront, our mission is to create a financial system that favors ... Disclosures All investing involves risk, including the possible loss of principal. Tax-Loss ...

Visit our website at: www.dcca.com . Data Scientist CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly ... risk mitigation. Data Visualization & Reporting: Translate complex analytical findings into ...

... risk assessment, and business decision-making. The ideal candidate is comfortable working with ... Applicants for this position must not now, nor at any point in the future, require sponsorship for ...

New

$121K - $194K/yr

The Role Moderna is seeking a talented and motivated data scientist with a background in applying ... That's why our benefits and well-being resources are designed to support you--at work, at home, and ...

$121K - $194K/yr

Utilize data science and software engineering best practices in day-to-day work, including ... That's why our benefits and well‑being resources are designed to support you--at work, at home, ...

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive ... Risk Modeling: Create frameworks that quantify warranty exposure, failure risk, component ...

Employ wide range of data sources to develop algorithms for predicting risk, understanding drivers ... CareSource reserves the right to amend this at any time. CareSource is an Equal Opportunity ...

Your Mission As a Customer Data Scientist at Hawk, you're the person our customers trust to make ... Comfortable being the technical voice in a room with a customer's risk, compliance, or data science ...

$120K - $135K/yr

Overview At Lutron, we are transforming how people experience light through intelligent, connected lighting devices and systems. As a Data Scientist, you will apply data science, analytics, machine ...

New

Data scientists at this level work fairly independently on project-defined scope, often embedded with a product or data team, and partner with engineers, analysts, PMs, and subject-matter experts. We ...

At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to ... The data scientist we seek comes with strong experience in Python and its data science ecosystem ...

At The Hanover, data science is a key driver of how we understand risk, improve customer ... home life. At The Hanover, you'll enjoy what you do and have the support you need to succeed.

SENIOR DATA SCIENCE ENGINEER SPECIALIST - DATA SCIENTIST Concurrent Technologies Corporation ... Our teams at CTC are passionate and thrive on collaboration in a team environment * When we ...

Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger ... Data Scientist As a Data Scientist , you will design, develop, and implement scalable data ...

Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system ... AI is an extremely powerful tool that must be created with safety and human needs at its core, and ...

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Kentucky?

The most popular types of Data Scientist Risk jobs in Kentucky are:

What are popular job titles related to At Home Data Scientist Risk jobs in Kentucky?

For At Home Data Scientist Risk jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching At Home Data Scientist Risk jobs in Kentucky look for?

The top searched job categories for At Home Data Scientist Risk jobs in Kentucky are:

Infographic showing various At Home Data Scientist Risk job openings in Kentucky as of August 2026, with employment types broken down into 2% As Needed, 71% Full Time, 22% Part Time, 4% Contract, and 1% Nights. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Principal Research Scientist - Risk

On-site

Other

Posted 16 days ago


Job description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.

We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.

By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.

Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.

Principal Research Scientist - Risk

We are seeking an experienced research scientist to lead Neara’s internal research group in topics of system resilience, reliability, and policy. In this role, you will define a research agenda, develop rigorous statistical and decision models, and translate findings into tools and recommendations for utilities managing billions of dollars in capital expenditure.

Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As the Principal Research Scientist - Risk, you will use this information to build generalizable models of asset failure and determine the value of additional data, inspections, and interventions.

What You Will Do:
  • Build and lead Neara’s applied research function for infrastructure risk and resilience.
  • Direct a team of researchers and establish rigorous standards for risk modeling, uncertainty quantification, and decision-making.
  • Develop predictive models for equipment damage, vegetation failure, outage likelihood and duration, and wildfire-related risk.
  • Design decision models that quantify the operational and economic consequences of resilience and reliability investments, including asset replacement, vegetation management, and network redesign.
  • Quantify the value of data including pole loading analysis, visual inspections, and the installation of new devices and remote sensing capabilities, both empirically and by analytical methods.
Who You Are:
  • A PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research and applied technical work.
  • Evidence of having independently defined and led a substantial research program as a group leader or industry principal, demonstrated through influential publications, patents, or production systems.
  • Experienced in building technical teams and setting research direction.
  • Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing capabilities and decision-making under incomplete information.
  • Substantial experience modeling operational systems. Particularly relevant topics include insurance or catastrophe modeling; weather prediction and climate hazard; outages in power systems; and reliability engineering.
What We Offer:
  • A highly competitive compensation package including a significant equity component to ensure you directly benefit from Neara’s sustained success and impact on critical infrastructure.
  • The opportunity to work on a cutting-edge, 3D physics-enabled platform used to anticipate the impact of extreme events, reduce infrastructure failure, and direct investment. Access to unique network-scale utility data unavailable in other industrial research settings.
  • Freedom to define and build Neara’s research modeling function, establishing the agenda, identifying preferred methods and working on novel under-specified problems.
  • A central role in shaping Neara’s long-term product roadmap, analytical standards and customer advisory services.
  • Flexible hours and working arrangements designed to help you do your best work from where you work best.

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