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Senior Data Scientist Jobs in Decatur, GA (NOW HIRING)

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

Key Skills: - LLM - NLP - GenAI - RAG - Python Summary We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai development ...

Warnerbros

Sr. Principal Data Scientist

Atlanta, GA

As a Sr. Principal Data Scientist, you will operate at the highest technical individual-contributor level at Warner Bros. Discovery-serving as a company-wide authority in advanced Data Science ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a ...

Smarsh

Lead Data Scientist

Atlanta, GA

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

State Farm

Data Scientist

Dunwoody, GA · On-site

This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science ...

CRH

Data Scientist

Atlanta, GA · On-site

Data Scientist CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525066 CRH is a ... senior leadership. You will be part of a high-performing, fast-paced environment with a strong ...

Munich RE

Data Scientist, AI

Atlanta, GA · On-site

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320 Onsite General Description and Classification Standards The Data Scientist ...

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All JobsData Scientist JobsSenior Data Scientist JobsSenior Data Scientist Jobs in Decatur, GA

Senior Data Scientist information

See Decatur, GA salary details

$40.5K

$139.1K

$196.2K

How much do senior data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior data scientist in Decatur, GA is $139,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $162,600.00 per year, depending on experience, location, and employer.

What are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What does a senior data scientist make?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and programming languages like Python or R, and may also receive bonuses or stock options.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What Is a Senior Data Scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Decatur, GA? The most popular types of Data Scientist jobs in Decatur, GA are:
What are popular job titles related to Senior Data Scientist jobs in Decatur, GA? For Senior Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Decatur, GA look for? The top searched job categories for Senior Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Senior Data Scientist jobs? Cities near Decatur, GA with the most Senior Data Scientist job openings:
Senior Data Scientist jobs near you
Infographic showing various Senior Data Scientist job openings in Decatur, GA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $139,089 per year, or $66.9 per hour.
Sr Data Scientist I (Actuarial Science)

Sr Data Scientist I (Actuarial Science)

RELX Group plc

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

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.
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