ZipRecruiter

Log In

1

Intel Data Scientist Jobs in Georgia (NOW HIRING)

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

... Intel Analysts w/ coding exposure) US AirForce: 17X - Cyberspace Warfare Operations 1B4X1 - Cyber Warfare Operations 9S100 - Scientific Applications Specialist 3D0X4 / 1D7X1 (Software / Data Ops ...

Nuvation Bio, Inc.

OAM - Atlanta

Marietta, GA · On-site +1

$200K - $220K/yr

Leverage intel and insights to develop account business plans, resulting in increased engagement ... Partner with the data and analytics team to maximize the use of data and reports that enable ...

All JobsIntel Data Scientist JobsIntel Data Scientist Jobs in Georgia

Intel Data Scientist information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do intel data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for intel data scientist in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What does an Intel data scientist do?

An Intel Data Scientist analyzes large and complex datasets to uncover insights, develop predictive models, and support data-driven decision-making within the company. They collaborate with engineering, product, and business teams to solve challenging problems using machine learning, statistical analysis, and other advanced data techniques. Their work helps Intel innovate in areas like processor design, manufacturing, and business operations by leveraging data to drive efficiency and product development.

What are the key skills and qualifications needed to thrive as an Intel data scientist?

To thrive as an Intel Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in computer science, data science, or a related field. Familiarity with Python, R, SQL, and big data platforms such as Hadoop or Spark, as well as experience with AI frameworks like TensorFlow or PyTorch, is typically required. Exceptional problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help data scientists stand out. These skills and qualities are crucial for extracting actionable insights from large datasets, driving innovation, and supporting Intel's data-driven decision-making.

How do Intel data scientists typically collaborate with engineering and product teams to drive impactful solutions?

At Intel, Data Scientists regularly work in cross-functional teams alongside engineers, product managers, and business analysts. Collaboration often involves translating complex data insights into actionable recommendations that inform product development and optimization. Data Scientists are expected to communicate their findings clearly, participate in project planning sessions, and ensure that data-driven solutions are integrated seamlessly into Intel’s cutting-edge hardware and software products. This collaborative environment not only enhances project outcomes but also provides plenty of opportunities for professional growth and learning from diverse technical experts.

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

AspectIntel Data ScientistData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; experience with machine learning and programmingBachelor's degree in related fields; proficiency in data visualization and basic analytics
Work EnvironmentResearch and development teams within tech and manufacturing sectors, often collaborative and project-basedBusiness units across various industries, focusing on reporting and data interpretation
Employer & Industry UsageTech companies like Intel, manufacturing, and R&D firmsRetail, finance, healthcare, and other sectors requiring data insights

Intel Data Scientists focus on advanced analytics, machine learning, and developing predictive models, often working in R&D environments. Data Analysts primarily handle data collection, cleaning, and reporting to support business decisions. While both roles require analytical skills, Intel Data Scientists typically have more technical expertise in programming and modeling, working on complex data projects within tech-driven industries.

How much do Intel data scientists make?

Intel data scientists typically earn an average salary ranging from $90,000 to $130,000 annually, depending on experience, education, and location. They often work with tools like Python, R, and SQL and may have advanced degrees in data science or related fields.

What are popular job titles related to Intel Data Scientist jobs in Georgia?

For Intel Data Scientist jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Intel Data Scientist jobs in Georgia look for?

The top searched job categories for Intel Data Scientist jobs in Georgia are:

Intel Data Scientist jobs near you
Infographic showing various Intel Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Senior Data Engineer with Security Clearance

Altamira Technologies

Fort Eisenhower, GA • On-site

$96K - $131K/yr

Other

Re-posted 8 days ago

Job description

Senior Data Engineer Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies.
 
We focus on recruiting talented, self-motivated employees who strive to get things done.    An Altamira Data Engineer is an integral member of an analytic and engineering team. The data scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets. We are highly interested in individuals who can craft narratives around their analytics, producing highly visual representations of both the output and the innerworkings of analytic methods. The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual will also have a firm grasp of the environments in which the analytics must be deployed, whether stand-alone, within a broader software architecture, in the cloud, etc. While a heavy programming background is not required, sufficient technical knowledge to implement the analytics is highly desired.  Minimum Education / Experience
MA or MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years CURRENT
Intelligence Analysis experience; OR
BA or BS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 years CURRENT Intelligence Analysis experience; OR HS diploma/GED AND Specialized Training with at least 15 years of Intelligence Analysis experience to include 10 years of CURRENT GEOINT Analysis experience AND 5 years of Data Analytics, Informatics, Statistics
experience
Minimum Qualifications
· Excellent written & oral communication, research, and analytic skills
· Expert ability to manage personnel, requirements, and coordination of projects
· Expert capabilities to research, create, develop, and deliver professional briefings, multimedia presentations, and written reports
· Experience utilizing programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across industry- leading GPU architectures to answer analytic questions
· Experience with assessments, enterprise data integration, governance, and metrics, including the application of metadata management techniques and ability to interrogate databases efficiently using SQL
· Experience with tradecraft and publication; ability to coordinate and support cross- community meetings and working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions
Desired Experience
· Knowledge of Army structure and defense level intelligence operations: intelligence collection, fusion, analysis, production, and dissemination for intelligence databases and products
· Knowledge and experience with intelligence operations and in assisting with drafting expert assessments across operations priorities on behalf of the stakeholder
· Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification (GPC-F, GPC _IA-II, GPC_GA-II, GPC_IS-II, etc.)
· Knowledge and understanding of the National System for GEOINT (NSG) and Intelligence Community; knowledge of private sector data science/analytics, machine learning, and data visualization communities Altamira is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

Apply