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Data Scientist Jobs in Cayce, SC (NOW HIRING)

Data Scientist

Columbia, SC ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field. Required Work Experience: * Three ...

Principal Data Scientist - CX Analytics

Columbia, SC ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Principal Data Scientist to join the CX Analytics team within our Customer Experience Organization. In this role, you will drive applied data science work that goes beyond modeling ...

Data Scientist II - CX Analytics

Columbia, SC ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience Organization. Our team leverages AI across development workflows and uses it to extract insights from ...

AI & GenAI Data Scientist-Senior Associate

Columbia, SC ยท On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As an AI & GenAI Data Scientist-Senior Associate, you will be at the ...

Payer Healthcare Data Scientist, Manager

Columbia, SC

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Applied AI Scientist

Columbia, SC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Data Scientist information

See Cayce, SC salary details

$34.9K

$114.1K

$182.6K

How much do data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data scientist in Cayce, SC is $114,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,400.00 per year, depending on experience, location, and employer.

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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are the most commonly searched types of Data Scientist jobs in Cayce, SC?

The most popular types of Data Scientist jobs in Cayce, SC are:

What are popular job titles related to Data Scientist jobs in Cayce, SC?

For Data Scientist jobs in Cayce, SC, the most frequently searched job titles are:

What cities near Cayce, SC are hiring for Data Scientist jobs?

Cities near Cayce, SC with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Cayce, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,065 per year, or $54.8 per hour.

Data Scientist

Ourhrconnect

Columbia, SC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description


Summary
ย Why should you join the BlueCross BlueShield of South Carolina family of companies?
Other companies come and go, but for more than seven decades we've been part of the national landscape, with our roots firmly embedded in the South Carolina community. We are the largest insurance company in South Carolina ... and much more. We are one of the nation's leading administrators of government contracts. We operate one of the most sophisticated data processing centers in the Southeast. We also have a diverse family of subsidiary companies that allows us to build on a variety of business strengths. We deliver outstanding service to our customers. If you are dedicated to the same philosophy, consider joining our team!
Description
ย 

Position Purpose:

Responsible for modeling complex healthcare inquiries, discovering insights and identifying opportunities through the use of statistical, algorithmic, data-mining and visualization techniques. Integrate and analyze large, varied datasets and communicate results of large scale analytics.

Sponsorship: This position is not eligible for sponsorship now or in the future.

What You Will Do:

  • Support decision making by collaboratively building, maintaining, and improving multiple analytic systems. Design experiments, test hypotheses, and build analytical models to explore, explain, and predict health-related outcomes. Model and frame healthcare scenarios that are meaningful and impact strategic direction throughout the health care business.
  • Work closely with clients, data stewards, project managers, and Information Systems teams to turn health care data into critical information and knowledge that can be used to make sound organizational decisions. Collaborate with subject matter experts to select the relevant sources of information. Educate the organization from technical and business perspectives on advanced analytic approaches. Help the organization understand the principles and the computational analysis behind processes to ensure organizational support. Work with data stewards to ensure compliance with existing governance, regulatory, architecture and security policies.
  • Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems for stand-alone projects or to be assimilated into production systems. Provide evidence that is congruent and reliable. Work iteratively to validate findings using experimental design, scenario modeling, and sensitivity analyses. Conduct data analyses that range from simple descriptive statistics to highly complex algorithms.
  • Develop innovative and effective approaches to solve analytics problems. Communicate results and methodologies with transparency. Identify, generate, and apply the appropriate algorithm to discover patterns. Come up with solutions to broadly defined business needs by leveraging pattern detection over complex datasets.
  • Present findings to the business leaders through presentations, dashboards, or other analytical output. Provide method validation with assumptions, strengths, and limitations in a way that can be easily understood by stakeholders. Recommend ongoing improvements to methods and algorithms that lead to more efficient processes.

To Qualify For This Position, You Will Need:

Required Education:

  • Master's degree in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field.


Required Work Experience:

  • Three years of relevant quantitative and qualitative analytics experience, PhD training will be counted as three years of experience


Required Skills and Abilities:

  • Proficiency using SQL to query large, complex datasets.
  • Strong programming, analytical, and problem-solving skills.
  • Knowledge of statistical techniques including statistical analysis, quantitative analytics, predictive analytics, and multivariate testing.
  • Ability to innovate and collaborate; Team player who is proactive and detail-oriented.


Required Software and Other Tools:

  • Microsoft Office, SQL, Statistical programming tools (such as R, Python, or SAS)


We Prefer That You Have:

Preferred Work Experience

  • Experience with machine learning models, including development and deployment.
  • Experience leveraging large language models (LLMs), ie. AI.
  • Experience with data prep to support data science workflows.
  • Experience working with health care data or OMOP CDM.


Preferred Skills and Abilities:

  • Proficiency using Python.
  • Proficiency using Data Bricks.
  • Strong written, verbal, presentation, communication, and interpersonal skills.


Work Environment: Typical office environment. Some travel required.

What We Can Do for You:

We offer our employees great benefits and rewards. You will be eligible to participate in our benefits program the first of the month following 28 days of employment.

Our comprehensive benefits package includes:

  • Subsidized health plans, dental and vision coverage

  • 401K retirement savings plan with company match

  • Life Insurance

  • Paid Time Off (PTO)

  • Nine paid holidays

  • On-site cafeterias and fitness centers in major locations

  • Education Assistance

  • Service recognition

  • National discounts to movies, theaters, zoos, theme parks and more

Equal Employment Opportunity Statement

BlueCross BlueShield of South Carolina and our subsidiary companies maintain a continuing policy of nondiscrimination in employment to promote employment opportunities for persons regardless of age, race, color, national origin, sex, religion, veteran status, disability, weight, sexual orientation, gender identity, genetic information or any other legally protected status. Additionally, as a federal contractor, the company maintains affirmative action programs to promote employment opportunities for individuals with disabilitiesand protected veterans. It is our policy to provide equal opportunities in all phases of the employment process and to comply with applicable federal, state and local laws and regulations.

We are committed to working with and providing reasonable accommodations to individuals with disabilities, pregnant individuals, individuals with pregnancy-related conditions, and individuals needing accommodations for sincerely held religious beliefs, provided that those accommodations do not impose an undue hardship on the Company.

If you need special assistance or an accommodation while seeking employment, please email mycareer.help@bcbssc.comor call 800-288-2227, ext. 47480 with the nature of your request. We will make a determination regarding your request for reasonable accommodation on a case-by-case basis.

We participate in E-Verify and comply with the Pay Transparency Nondiscrimination Provision. We are an Equal Opportunity Employer. Here's moreinformation.

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