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Data Science Jobs in Rome, GA (NOW HIRING)

Heico

Data Analyst

Rockmart, GA

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of business data across the organization. This role is responsible for ensuring data accuracy, integrity ...

HEICO

Data Analyst

Rockmart, GA · On-site

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of business data across the organization. This role is responsible for ensuring data accuracy, integrity ...

HEICO

Data Analyst

Rockmart, GA · On-site

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of business data across the organization. This role is responsible for ensuring data accuracy, integrity ...

Sentara

Senior Healthcare Data Analyst

Centre, AL · Remote

$80K - $133K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational ...

Qcells

Production Engineer (Cell)

White, GA

Confirm data accuracy of production yield, output, quality, and raw materials in stock. * Conduct a ... Bachelor of Science degree in Industrial Engineering, Material Science, Chemical Engineering, or ...

New

Qcells

Production Engineer (Cell)

Cartersville, GA · On-site

Confirm data accuracy of production yield, output, quality, and raw materials in stock. * Conduct a ... Bachelor of Science degree in Industrial Engineering, Material Science, Chemical Engineering, or ...

New

PATTERNS

Production Specialist (Korean Bilingual)

Kingston, GA · On-site

$13.75 - $19/hr

Science, Math, Engineering, and Technology OR Finance, or Accounting (Preferred). * 3+ years of ... Proficiency in process optimization and data-driven decision making. * Excellent problem- solving ...

New

Qcells

Equipment Engineer (Cell)

White, GA

Conduct data analysis to define equipment issues and apply appropriate corrective measures ... Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, or related field.

Qcells

Equipment Engineer (Cell)

Cartersville, GA · On-site

Conduct data analysis to define equipment issues and apply appropriate corrective measures ... Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, or related field.

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All JobsData Science JobsData Science Jobs in Rome, GA

Data Science information

See Rome, GA salary details

$37.5K

$122.8K

$196.6K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science in Rome, GA is $122,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,100.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Rome, GA? The most popular types of Data Science jobs in Rome, GA are:
What are popular job titles related to Data Science jobs in Rome, GA? For Data Science jobs in Rome, GA, the most frequently searched job titles are:
What cities near Rome, GA are hiring for Data Science jobs? Cities near Rome, GA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Rome, GA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,795 per year, or $59 per hour.

Software Engineer, AI & Cognitive Computing

Scalian SAS

Rome, GA

Other

Re-posted 2 days ago

Job description

Do you have an interest in using and developing your skills in software development? Do you enjoy problem-solving and critical thinking? If so, this might be the role for you.
What you will do:
Work on specific projects to help develop technology-based solutions for data management and reporting
Work in an Agile, collaborative environment alongside members of Scalian/Customer team to define the problem and develop potential solutions
Deepen your understanding of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation
Assist with the design, coding, and testing of new features in support of the team members
Work with large amounts of data from both structured and unstructured data sources to construct data pipelines, apply transformation and cleansing rules and assess data quality
Participate in hands-on workshops to further develop your technical skills and understanding of machine learning and its capabilities
Required Knowledge, Skills and Experience
Have a degree or diploma in Computer Science or Engineering, Data Science, Analytics, Information Technology or a similar discipline
Use your Python, Java and/or R programming skills to perform analysis and develop applications
Enjoy taking an experimental approach to solving problems and challenges while leveraging your critical thinking skills
Apply your basic to intermediate knowledge in software development and UI to support the project from idea to implementation
Have an interest in AI and machine learning in the context of computer science

Apply