1

Data Science Jobs in Manchester, GA (NOW HIRING)

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is ...

Data Engineer

Columbus, GA · On-site

$48 - $53/hr

Experience in data warehousing and database performance tuning. * Knowledge of cloud-based data ... Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

Clinical Affairs Scientist

Turin, GA · On-site +1

$105K - $197K/yr

The ideal candidate will have a strong background in clinical science/research and experience ... Design and develop databases, Electronic Data Capture (EDC) systems, and case report forms.

Data Engineer The Opportunity: Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before-both structured and unstructured.

Business Analysis

Columbus, GA · On-site

$55 - $60/hr

Partner with consultants, architects, PMO, and data science teams to align business findings with solution direction. Nice to Have: * CBAP, CCBA, PMI-PBA, or similar certification preferred. Skills:

Lead Medical Technologist

Columbus, GA · On-site

$67K - $90K/yr

Review laboratory data for accuracy, completeness, and regulatory compliance prior to reporting ... Completion of a NAACLS-accredited Medical Laboratory Science program preferred Licenses ...

Domain Architect

Columbus, GA · On-site

$140 - $200/hr

Master's Degree in Computer Science, Information Systems or other related field Develop andmaintainthe enterprise data architecture roadmap, aligning capabilities and investments with business ...

next page

Showing results 1-20

Data Science information

See Manchester, GA salary details

$39K

$127.6K

$204.2K

How much do data science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data science in Manchester, GA is $127,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $141,400.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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 cities near Manchester, GA are hiring for Data Science jobs?

Cities near Manchester, GA with the most Data Science job openings:

Infographic showing various Data Science job openings in Manchester, GA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $127,574 per year, or $61.3 per hour.

SAIC
IT Services • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 225 rated it services

People enjoy working here

Good employer

Recommended by students


Full-time

Posted 17 days ago


Job description

Job ID: 2615452

Location: Fort Moore, GA, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an experienced Data Analyst in Fort Benning, GA to support the Maneuver Battle Lab Modeling and Simulation Branch to support wargames and tabletop experiments (TTXs) with strong knowledge of maneuver doctrine and formations and the US Army Concepts and Capabilities Development Process.

Job Description:

  • Assist Project Lead in the design of wargames and TTXs
  • Work closely with the Senior Facilitator and Project Lead to plan, prepare, execute, and report on Wargames or TTX
  • Serve as the primary operator of the computer driven wargaming tool used to provide context to the Wargame or TTX
  • When required, will support simulation-based Experiments and Conferences hosted by the MBL as White Cell Lead or Lead for the Adjudication Cell
  • As required, develop data collection management plan and reduce data from experiments

Qualifications

Required Education and Experience:

  • Bachelors and two (2) years or more of relevant experience; additional four (4) years of experience accepted in lieu of degree
  • Knowledge in US Army Tactical Operations
  • Experience in Multi-Domain operations
  • Experience in analyzing and reducing data to support report or experiment objectives
  • Experience developing analytical objectives and qualitative questions to achieve them from experiment participants

Required Clearance:

  • Must be able to obtain a full Secret Clearance; SAIC will help to obtain
  • Must be a current US Citizen



What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom