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Data Science Analytics Jobs in South Carolina (NOW HIRING)

Brookfield Properties

Data Scientist

Charleston, SC · On-site

The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious ...

Maymont Homes

Data Scientist

Charleston, SC · Remote

The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious ...

Brookfield Properties

Data Scientist

Charleston, SC · Remote

The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious ...

Maymont Homes

Data Scientist

Charleston, SC · On-site

The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious ...

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Charleston, SC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Florence, SC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Synectic Solutions Inc

$118K - $130K/yr

Accredited BA or BS degree relevant to data science, analytics, data management, or information technology. * At least three (3) years of recent and relevant experience in data science, analytics, or ...

Synectic Solutions Inc

Accredited BA or BS degree relevant to data science, analytics, data management, or information technology. * At least three (3) years of recent and relevant experience in data science, analytics, or ...

Td

Data Scientist III

Greenville, SC · On-site

$96K - $155K/yr

The ideal candidate will possess strong data science, analytics, visualization, and leading technology skills with a practical understanding of compliance, risk, and data governance. This role will ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial ...

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All JobsData Science Analytics JobsData Science Analytics Jobs in South Carolina

Data Science Analytics information

See South Carolina salary details

$22

$50

$87

How much do data science analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data science analytics in South Carolina is $50.80, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $57.55 per hour, depending on experience, location, and employer.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What can I do with data science analytics?

Data science analytics involves analyzing large datasets to extract insights, support decision-making, and solve complex problems. Professionals in this field use tools like Python, R, and SQL, and often work in industries such as finance, healthcare, or marketing to develop predictive models and visualize data. Skills in statistics, machine learning, and data visualization are essential for success in this role.

What are popular job titles related to Data Science Analytics jobs in South Carolina?

For Data Science Analytics jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Data Science Analytics jobs in South Carolina look for?

The top searched job categories for Data Science Analytics jobs in South Carolina are:

Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $105,669 per year, or $50.8 per hour.

Data Scientist

Brookfield Properties

Charleston, SC • On-site

Full-time

Retirement, PTO

Re-posted 17 days ago

Brookfield Properties rating

7.5

Company rating: 7.5 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

104th of 207 rated real estate companies

Job description

Location
Charleston - 997 Morrison Drive, Suite 402
Business
Our Growth, Your Opportunity
At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry-we are a company that puts people and communities at the heart of everything we do.
As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.
Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.
Job Description
**This position is onsite at 997 Morrison Dr, Charleston SC**
Primary Responsibilities: The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to solve complex business challenges and enable data-driven decision-making across the organization. This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and Excel.
Working closely with cross-functional business partners, the Data Scientist translates business questions into analytical solutions, delivering actionable insights that support strategic initiatives and operational decision-making. The role is responsible for owning the end-to-end modeling lifecycle, including problem definition, data preparation, model development, validation, performance evaluation, and communication of results to both technical and non-technical audiences.
The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious, analytical, and comfortable working with complex datasets to uncover meaningful insights. Success in this role requires the ability to quickly develop domain expertise in the housing industry, collaborate effectively with business stakeholders, and translate technical findings into clear, impactful recommendations that drive business value.
Skills & Competencies:
Qualifications:
  • Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
  • 3+ years of experience in data science, analytics, or applied quantitative work.
  • Strong problem-solving skills and attention to detail.
  • Strong Python, SQL, and Excel skills, with the ability to handle ad hoc data requests from business partners.
  • Excellent communication, collaboration, and presentation skills with both technical and business audiences.
  • Familiarity with Git, Agile development methodologies, and collaborative software development practices.

Preferred Qualifications:
  • Experience within real estate, private equity, investment management, asset management, or financial services.
  • Experience building and deploying predictive pricing, forecasting, or optimization models in production.
  • Experience utilizing geospatial analytics and external market data sources.
  • Experience with AWS cloud services and modern AI platforms.

Essential Skills:
  • Data Science & Machine Learning: Solid working knowledge of statistical modeling, predictive analytics, regression, and core machine learning methods, with hands-on experience building models.
  • Problem Solving: Ability to take a defined business problem, develop an analytical approach, and translate findings into clear, usable recommendations for business partners.
  • Excel & Ad Hoc Analysis: Advanced Excel skills, including the ability to quickly turn around ad hoc data requests, build clear analyses, and summarize results for business partners such as Asset Management and Operations.
  • Programming: Strong Python and SQL skills for building models and analyzing data, with hands-on experience using common libraries (e.g., pandas, scikit-learn).
  • Artificial Intelligence: Baseline experience working with AI tools, including an understanding of prompts and prompt engineering to improve analytical efficiency.
  • Model Deployment: Exposure to how models are deployed to production and monitored over time, with willingness to develop these skills alongside team members.
  • Collaboration: Ability to work effectively across data science, engineering, and business teams, building strong partnerships and contributing to shared goals.
  • Communication: Ability to clearly communicate complex analytical concepts to technical and non-technical audiences.

Essential Job Functions:
Typical Day Activities:
  • Partner with business teams, including Asset Management and Operations, to handle ad hoc data requests and support day-to-day operational and portfolio questions.
  • Build predictive models in Python to address defined business problems, such as pricing, occupancy, or operational performance, in collaboration with senior team members.
  • Help deploy models into production and monitor their performance, learning production best practices with support from senior team members and Data Engineering.
  • Summarize findings into clear, concise takeaways for business partners.
  • Collaborate with Data Engineering to ensure scalable, reliable, and trusted analytical datasets.

Key Metrics & Responsibilities:
  • Decision Support: Provide timely, accurate analysis and ad hoc data support that helps business partners make better decisions.
  • Model Building: Build and maintain models in Python that reliably address the business problems they are assigned to solve.
  • Quality of Analysis: Deliver accurate, well-organized analyses that business partners can trust and use.
  • Growth & Learning: Steadily expand technical skills and business knowledge, including new tools and modeling techniques and the housing industry, over time.
  • Data Quality & Analytical Standards: Ensure analytical rigor, statistical integrity, reproducibility, and documentation across all models and analyses.

Why work for Maymont Homes?
Our Mission - "We Positively Impact the Lives in the Communities We Serve." Every role contributes to this purpose, helping families find a place to call home while making a difference in the communities we support.
Certified Great Place to Work® - Our people make us who we are. This certification celebrates the values and culture that fuel collaboration, innovation, and care.
Outstanding Benefits - Backed by Brookfield, our benefits include a 5% 401(k) match, wellness credits that reduce healthcare costs, and up to 160 hours of PTO annually for full-time employees.
Career Growth - With continued expansion planned for Maymont, you'll find meaningful opportunities to grow your skills, advance your career, and make an impact.
Strong Foundation - As part of Brookfield Asset Management, one of the world's largest real estate asset managers, we have the stability, resources, and vision to keep growing.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #MYMT

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