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Data Science Jobs in Greer, SC (NOW HIRING)

Cloud Data Engineer

Greenville, SC ยท On-site

$100K - $121K/yr

You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions ...

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Earth Science Tutor

Greenville, SC ยท Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

Data Analyst Sr- Level 3

Greenville, SC ยท On-site +1

$76K - $96K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

ERP AI Engineer - Manager

Spartanburg, SC ยท On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Python Tutor

Greenville, SC ยท Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

NGA AI Engineer Manager

Spartanburg, SC ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

High School Science Tutor

Greenville, SC ยท Remote

$18 - $40/hr

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AI Solutions Engineering Delivery Lead

Spartanburg, SC ยท On-site

$100K - $131K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Analyst Sr- Level 3

Greenville, SC ยท On-site

$85K - $150K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

Showing results 21-40

Data Science information

See Greer, SC salary details

$36.1K

$118K

$188.9K

How much do data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science in Greer, SC is $118,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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 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 most commonly searched types of Data Science jobs in Greer, SC? The most popular types of Data Science jobs in Greer, SC are:
What are popular job titles related to Data Science jobs in Greer, SC? For Data Science jobs in Greer, SC, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Greer, SC look for? The top searched job categories for Data Science jobs in Greer, SC are:
What cities near Greer, SC are hiring for Data Science jobs? Cities near Greer, SC with the most Data Science job openings:
Infographic showing various Data Science job openings in Greer, SC as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $118,012 per year, or $56.7 per hour.

Cloud Data Engineer

The Intersect Group

Greenville, SC โ€ข On-site

$100K - $121K/yr

Other

Posted 4 days ago


Job description

Data Engineer

Company Overview

The Intersect Group is partnering with a forward thinking organization that leverages data, analytics, and emerging technologies to drive strategic business decisions. This company is committed to innovation, continuous improvement, and building scalable solutions that empower teams across the enterprise. With a strong investment in cloud technologies, artificial intelligence, and data driven insights, they offer an environment where technical professionals can make a meaningful impact while continuing to grow their expertise.

Role Summary

We are seeking a Cloud Data Engineer to play a critical role in designing, building, and optimizing enterprise data solutions. This position is ideal for a highly skilled data professional who enjoys solving complex challenges, working with modern cloud technologies, and delivering scalable systems that support business intelligence, analytics, and AI initiatives.

As a key member of the Data Engineering team, you will own the full software development lifecycle, from design and development through testing, deployment, and ongoing optimization. You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions that enable data driven decision making throughout the organization.

Key Requirements

โ€ข 5+ years of hands on experience as a Data Engineer, Cloud Data Engineer, or similar data focused development role

โ€ข Strong experience with Microsoft SQL Server and C# development is required and considered non negotiable for this position

โ€ข Proven experience designing, developing, and maintaining backend data solutions, data processing frameworks, and enterprise data pipelines

โ€ข Hands on experience with Databricks, data enrichment processes, and large scale data integration initiatives

โ€ข Strong foundation in Microsoft Azure, including Azure data services, Azure security, and modern cloud architecture concepts

โ€ข Experience developing scalable data warehouse solutions and advanced SQL based data models

โ€ข Demonstrated ability to build, optimize, and support end to end ETL and ELT processes in production environments

โ€ข Solid understanding of software development lifecycle practices, source control, testing, deployment, and production support

โ€ข Experience supporting cloud based analytics, reporting, artificial intelligence, or machine learning initiatives is highly desirable

โ€ข Bachelor''s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field

โ€ข Must be authorized to work in the United States as a , or validholder

โ€ข Sponsorship is not available now or in the future for this position

โ€ข Strong analytical and problem solving abilities with a demonstrated track record of delivering reliable, production ready solutions

โ€ข Genuine interest in learning emerging technologies and continuously expanding technical expertise

โ€ข Excellent communication, collaboration, and interpersonal skills with the ability to work effectively across technical and business teams

โ€ข High degree of integrity and professionalism with experience that accurately reflects hands on technical capabilities

โ€ข Ability to thrive in a collaborative, culture driven environment and contribute positively to team success

Preferred Qualifications

โ€ข Experience with Azure Foundry and modern AI enabled data platforms

โ€ข Experience working with Azure analytics, storage, database, and machine learning services

โ€ข Familiarity with distributed computing architectures and large scale cloud data platforms

โ€ข Experience with statistical programming languages such as R

โ€ข Experience mentoring team members and contributing to technical best practices

Why Join This Opportunity

โ€ข Opportunity to influence the future of a growing enterprise data platform

โ€ข Exposure to cutting edge cloud, analytics, machine learning, and AI technologies

โ€ข Highly collaborative environment with strong executive support for data initiatives

โ€ข Ability to work on high impact projects that drive strategic business outcomes

โ€ข Career growth opportunities within a modern and innovative technology organization

Apply Today

If you are passionate about building scalable cloud data solutions, optimizing data platforms, and enabling advanced analytics through innovative engineering practices, we encourage you to apply. Submit your resume and contact information to The Intersect Group today to be considered for this exciting opportunity.