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Data Science Jobs in North Augusta, SC (NOW HIRING)

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering ...

Data Scientist Level 2

Augusta, GA · On-site

$43 - $95/hr

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge * Through analytic modeling, statistical analysis ...

Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering ...

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

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 ...

Data Engineer

Augusta, GA · On-site

$100K - $115K/yr

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 ...

Data Engineer

Augusta, GA · On-site

$100 - $115/hr

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 ...

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

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 ...

Data Engineer

Augusta, GA · On-site

$107K - $129K/yr

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 ...

Showing results 21-40

Data Science information

See North Augusta, SC salary details

$35.2K

$115.4K

$184.7K

How much do data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science in North Augusta, SC is $115,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $127,800.00 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 are the most commonly searched types of Data Science jobs in North Augusta, SC?

The most popular types of Data Science jobs in North Augusta, SC are:

What are popular job titles related to Data Science jobs in North Augusta, SC?

For Data Science jobs in North Augusta, SC, the most frequently searched job titles are:

What cities near North Augusta, SC are hiring for Data Science jobs?

Cities near North Augusta, SC with the most Data Science job openings:

Infographic showing various Data Science job openings in North Augusta, SC as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $115,357 per year, or $55.5 per hour.

Data Scientist Expert

SOSi

Fort Eisenhower, GA • On-site

Full-time

Re-posted 8 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

**This position is contingent upon award of contract** 

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army Intelligence and Security Command (INSCOM). The role involves applying advanced statistical, computational, and machine learning techniques to solve complex analytical problems and generate missioncritical insights. This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and operationalize highvalue analytical models. The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated analytical outputs that support operational, intelligence, and enterpriselevel decisionmaking.

Essential Job Duties:

  • Perform predictive and prescriptive analytics to identify trends, patterns, and anomalies in large datasets; validate, document, and optimize all models for operational use.
  • Collect, clean, and fuse structured and unstructured data from multiple sources; design and maintain scalable data pipelines that ensure quality, lineage, and reliability at enterprise scale.
  • Apply logistic regression, clustering, PCA, NLP, neural networks, deep learning, and related techniques to deliver insights otherwise unobtainable and to meet mission objectives.
  • Develop and maintain algorithms, scripts, and microservices (Python, R, Julia, SQL) to automate data ingestion, processing, geoprocessing, and analytics workflows.
  • Design and deploy models for object detection, image classification, feature extraction, and activity recognition using modern ML frameworks; implement testing, performance tuning, and MLOps practices.
  • Build actionable dashboards and visualizations; deliver clear reports, charts, and multimedia presentations that translate technical findings into missionrelevant decisions.
  • Employ geospatial scientific principles and GIS tools to integrate locationbased data and models; support GEOINT workflows and (where applicable) NSG TCPED processes.
  • Administer, query, and optimize tabular and geospatial datasets; leverage SQL and spatial databases while enforcing metadata standards, governance policies, and data stewardship.
  • Operate within TS/SCI/SSBI requirements; implement security, privacy, and access controls across data, models, and tooling to meet DoD/IC policies and program standards.
  • Work within Scrum/Kanban/Lean frameworks; partner with stakeholders to define requirements, iterate solutions, and evaluate emerging tools/algorithms-recommending innovations that improve analytical outcomes and mission impact.
Qualifications

Minimum Requirements:

  • MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR
    • BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
  • Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
  • Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
  • Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
  • Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capabilities.
  • Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
  • Current, active TS/SCI security clearance with Single Scope Background Investigation (SSBI)

Preferred Qualifications:

  • Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
  • Certification in AWS (AI/ML specialty).
  • Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
  • Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
  • Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
  • Experience with Microsoft Office tools to deliver reports, graphics and briefings.
Additional Information

Work Environment

  • Normal office conditions
  • The primary performance location for this contract will be Fort Gordon, Georgia. The Government reserves the right to require contract performance at alternate locations, as dictated by mission requirements, and these locations may be subject to change.
  • Additional performance locations are as follows:
    • MacDill AFB, Florida
    • Buckley SFB, Colorado
    • Springfield, Virginia
  • Potential performance locations may include the following:
    • Vicenza, Italy
    • Wiesbaden, Germany
    • Fort Shafter, Hawaii

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.