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Phd In Statistics Jobs in Georgia (NOW HIRING)

Inspire Brands

Data Scientist

Atlanta, GA · On-site

Familiarity with statistics andmachine learning concepts isessentialOR * Master's degree in a STEM fieldwith1-2yearsofwork experienceOR * PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED:

Inspire Brands

Data Scientist

Atlanta, GA

Familiarity with statistics andmachine learning concepts isessentialOR * Master's degree in a STEM fieldwith1-2yearsofwork experienceOR * PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED:

Novelis

Modeling Scientist

Kennesaw, GA · On-site

PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ... Strong foundation in statistical modeling, machine learning algorithms, and model evaluation ...

Novelis Global R&T

Modeling Scientist

Kennesaw, GA · On-site

PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ... Strong foundation in statistical modeling, machine learning algorithms, and model evaluation ...

Inspire Brands, Inc.

Data Scientist

Sandy Springs, GA · On-site

Familiarity with statistics and machine learning concepts is essential OR * Master's degree in a STEM field with 1-2 years of work experience OR * PhD in a STEM field with 0-1 years of work ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
What are popular job titles related to Phd In Statistics jobs in Georgia? For Phd In Statistics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Georgia look for? The top searched job categories for Phd In Statistics jobs in Georgia are:
What cities in Georgia are hiring for Phd In Statistics jobs? Cities in Georgia with the most Phd In Statistics job openings:
Phd In Statistics jobs near you
Sr Data Scientist I (Actuarial Science)

Sr Data Scientist I (Actuarial Science)

LexisNexis

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

162nd of 449 rated business services

Job description

Would you like to apply actuarial science and statistical modeling to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About our Team
The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders. The team is responsible for new product innovation, model development, and creating actionable insights for our customers. We work closely with the Vertical and Product teams to design and implement new solutions for the insurance and OEM markets. By harnessing the power of data, our analytics team empowers insurers to make informed decisions, optimize risk segmentation, and enhance underwriting strategies, ultimately driving success in an ever-evolving insurance landscape.
About the Role
Are you an actuarial professional who wants to build models that influence underwriting, risk segmentation, and decision-making across the insurance industry, without being confined to traditional rate-making roles?
We are seeking a Senior Data Scientist I with a strong actuarial foundation to join our Insurance Analytics team, focused on the commercial insurance market. In this role, you will design and develop predictive models that are embedded in carrier workflows and used to inform underwriting decisions, segmentation strategies, and downstream pricing models.
Unlike traditional actuarial roles, you will focus on building external-facing risk models and attributes that insurers integrate into their pricing and underwriting frameworks. This is an ideal opportunity for someone with actuarial training who enjoys applying statistical modeling and analytical thinking to broader insurance problems at scale.
Responsibilities:
  • Developing predictive risk models and attributes used by insurers in underwriting, segmentation, and decisioning workflows
  • Applying actuarial principles and statistical modeling techniques to assess risk and improve model performance
  • Designing and implementing models that are integrated into carrier underwriting processes and downstream pricing frameworks
  • Translating complex analytical outputs into clear, defensible insights for business and product stakeholders
  • Partner with Product and Vertical teams to solve insurance-specific problems related to risk evaluation and segmentation
  • Managing and analyzing large, complex datasets, including data storage, processing, and quality assurance.
  • Applying best practices for data validation, testing, and model performance monitoring.
  • Collaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical culture.
  • Maintaining a strong understanding of team tools, technologies, and evolving industry trends.
  • Communicating progress, insights, and outcomes clearly to stakeholders.
  • Supporting team excellence by upholding high standards of quality, accountability, and execution.

Requirements:
  • Minimum undergraduate degree in relevant field and 4+ years of relevant work experience
  • Or a master's degree in a relevant field and 2+ years of relevant work experience.
  • Or a PhD in a relevant field.
  • Strong actuarial foundation, including experience applying actuarial concepts to insurance risk, underwriting, or segmentation problems
  • Progress toward actuarial credentials (ASA or equivalent) strongly preferred
  • Strong expertise in Python. Coding skills in R, SQL, ECL are a plus.
  • Experience developing or supporting risk segmentation models (e.g., GLMs) in an insurance context and in Department of Insurance filings.
  • Experience translating actuarial models into production-ready analytical solutions.
  • Strong foundation in statistical and mathematical modeling, including model assumptions, diagnostics, and interpretability. This includes linear and non linear models along with ML techniques.
  • Extensive programming skills in Python and/or R for statistical modeling and data analysis
  • Strong ability as a self-starter to learn new technologies and to share cross-functional knowledge across the teams nice to have.

Technical/Professional Experience
  • Able to build or test new processes with senior guidance. Domain expert in Data Science, Actuarial Science and/or Statistical Analysis to build advanced models and roll into production.
  • Scopes and execute analytical approaches for moderately complex problems, seeking input where needed.
  • Supports, maintains, and enhances existing models (e.g., GLM and tree-based methods).
  • Applies statistical, mathematical, predictive modeling and analytical techniques to work with large, complex datasets from diverse sources.

Data Skills
  • Independently prepares, cleans, and transforms data for analysis and modeling.
  • Applies a range of data processing techniques and explores new methods to improve data quality and usability.

Project Management Skills
  • Owns and delivers components of projects independently, including planning and execution of key tasks.
  • Contributes to larger, more complex projects by executing defined workstreams and meeting timelines.

Domain/Industry Skills
  • Experience working with insurance data, risk modeling, or underwriting-related problems
  • Understanding of how predictive models are used within carrier underwriting and pricing workflows
  • Familiarity with regulatory or model governance considerations is a plus

Behavioral Competencies
  • Takes initiative and ownership of work, proactively addressing challenges and identifying opportunities for improvement.
  • Collaborates effectively with teammates, supporting a positive and accountable team environment.
  • Balances innovation with practical business needs and team priorities
  • Demonstrates accountability, follows through on commitments, and maintains high standards of work.
  • Shows willingness to stretch beyond core responsibilities and support team success.

Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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