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

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

You can learn more about LexisNexis Risk at the link below. our Team**We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse ...

You can learn more about LexisNexis Risk at the link below. About our Team We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our ...

You can learn more about LexisNexis Risk at the link below. About our Team We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our ...

You can learn more about LexisNexis Risk at the link below. About our Team We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Scientist will be a key architect in building next-generation agentic systems ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps ...

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Showing results 1-20

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 Georgia? The most popular types of Data Scientist Risk jobs in Georgia are:
What are popular job titles related to At Home Data Scientist Risk jobs in Georgia? For At Home Data Scientist Risk jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Georgia look for? The top searched job categories for At Home Data Scientist Risk jobs in Georgia are:
What cities in Georgia are hiring for At Home Data Scientist Risk jobs? Cities in Georgia with the most At Home Data Scientist Risk job openings:

Data Scientist / Senior Data Scientist (Risk Modeling)

Berkshire Hathaway Specialty Insurance

Atlanta, GA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Who are we?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.


We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?


Learn more about our unique culture and history.


Job Opportunity:


Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.


The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.


Duties & Responsibilities:


  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.


Qualifications, Skills and Experience:


Educational Background

  • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline.
  • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics.


Technical & Analytical Skills

  • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions).
  • Strong applied statistics skills for:
    • Risk modeling
    • Predictive analytics
    • Pricing & underwriting analytics
    • Catastrophe exposure analysis
  • Proficiency in statistical and machine learning techniques, including:
    • Regression (GLM, GAM, GAMMs)
    • Time-series forecasting
    • Gradient boosting, random forests, and other tree-based models, neural networks models
    • Clustering and segmentation
    • Bayesian methods
  • Hands-on experience with key programming tools:
    • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus)
    • R (actuarial/statistical packages)
    • SQL for data extraction and manipulation
    • Familiarity with Git and Docker is a plus
  • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus.


Preferred Domain Knowledge in Risk Modeling

  • Strong understanding of property & casualty insurance, including:
    • Exposure modeling
    • Loss distributions (e.g., Pareto, lognormal, gamma)
    • Catastrophe risk concepts and tail modeling
    • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR)


Data Skills

  • Ability to work with large structured and unstructured datasets.
  • Expertise in data cleaning, transformation, and feature engineering.
  • Experience building automated data pipelines and scalable model workflows.


Modeling & Communication

  • Ability to translate complex statistical concepts into actionable business insights.
  • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders.
  • Strong documentation and model governance discipline.


Professional Competencies

  • Curious, analytical thinker with strong problem-solving ability.
  • Ability to work independently in ambiguous problem spaces.
  • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers.


BHSI Offers:


  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave


The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.


NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.