ZipRecruiter

Log In

1

Data Science Assistant Jobs in Charleston, SC (NOW HIRING)

next page

Showing results 1-20

All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Charleston, SC

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Charleston, SC? The most popular types of Data Science jobs in Charleston, SC are:
What are popular job titles related to Data Science Assistant jobs in Charleston, SC? For Data Science Assistant jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Charleston, SC look for? The top searched job categories for Data Science Assistant jobs in Charleston, SC are:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Charleston, SC as of August 2026, with employment types broken down into 5% Internship, 78% Full Time, 11% Part Time, 2% Temporary, and 4% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Senior AI Engineer/ Data Scientist

High Side Technology

Johns Island, SC • On-site

Full-time

Re-posted 4 days ago

Job description

Description:

The Senior Data Scientist will work on government site and as part of a distributed multi-disciplinary team. This position requires interaction with government customers at all levels of authority and technical acuity and requires the ability to communicate technical and programmatic information through excellent verbal and written communication skills.

Responsibilities:

  • Provide AI data science and engineering expertise to advise the DDI program, assisting the agency’s development and management of ML/AI and agents to augment the analytic workflows of analysts addressing DoD/IC mission priorities.
  • Employ various programming algorithms to build, test and deploy ML/AI models and agentic AI capabilities.
  • Coordinate with other team members, developers, analysts, and scientists.
  • Create and manage the AI development process and overall product infrastructure.
  • Conduct statistical analysis and interpret the results to guide an organization's decision-making process.
  • Develop infrastructures for data transformation and ingestion and automate important infrastructure for analysts and scientists.
  • Build AI models that make predictions based on large quantities of data.
  • Explain the usefulness of the AI models to a wide range of individuals within the organization, including collaborators and product managers.
  • Develop APIs to interact with other applications.
  • Establish complete and accurate system-level functional/performance requirements that are clear, traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program’s architecture objectives and acquisition strategy.
  • Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues.
  • Provide technical coordination, architecture guidance, and support for DDI project development.
  • Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution.
  • Plan and coordinate data management practices to treat and handle data as a resource.
  • Assist Government principals in managing system development and deployment efforts, moves or modernization changes including analysis, IT and cloud requirements, network security measures, and other factors.

Requirements

  • United States citizenship required
  • Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph may be required
  • Bachelor’s degree in a relevant technical field
  • 8+ years of experience

Desired Qualifications:

  • Master’s degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree.
  • Expert-level experience in government or industry in ML/AI and agentic development
  • Experience Integrating solutions using ML/AI technologies
  • Demonstrated senior level experience leading technical integration efforts
  • Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition.
  • Proficiency in Python (FastAPI library familiarity is a plus)
  • Familiarity with CI/CD practices using GitLab or similar tools
  • Familiarity with RESTful APIs and microservices architecture
  • Experience with database management, PostGres, ElasticSearch
  • Knowledge of containerization (Docker, Kuberne3tes, Openshift, Helm)
  • Experience with version control systems, especially Git and platforms like GitLab for CI/CD
  • Proficiency in frontend frameworks (React)
  • Strong knowledge of HTML, CSS, and JavaScript
  • Experience with state management libraries (Redux, MobX) we are using Redux for state management right now
  • Understanding of UI/UX principles
  • Familiarity with CI/CD practices using GitLab or similar tools

Additional Desired Experience:

  • Experience with processes, tools, and languages pertaining to ML/AI development
  • Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies
  • Demonstrated senior level experience integrating Geospatial Intelligence systems
  • Demonstrated senior level experience in AI engineering and integration of large complex system of systems of service-centric/Cloud environments
Requirements: