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

SynergisticIT

Entry Level Data Analyst

Charleston, SC · On-site

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science ...

Ignite Digital

Junior Data Engineer

Charleston, SC · On-site

Working under the guidance of senior team members, you will assist in developing data pipelines ... Computer Science, Data Science, Engineering) * Exposure to data engineering concepts, data ...

Thorne

Formulation Scientist, Tech Ops

Summerville, SC · On-site

Reporting to Director of Scientific Operations, this position will assist in quality performance ... RESPONSIBILITIES • Conduct comprehensive analytical, manufacturing, and raw material data reviews ...

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Assistant Data Scientist information

See Charleston, SC salary details

$43K

$154.4K

$227.9K

How much do assistant data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for assistant data scientist in Charleston, SC is $154,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $159,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant Data Scientist, and why are they important?

To thrive as an Assistant Data Scientist, you need a solid understanding of statistics, data analysis, and programming skills in languages like Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), version control systems like Git, and experience with databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and explain findings to diverse stakeholders. These skills are vital for extracting actionable insights from complex datasets and contributing meaningfully to data-driven decision-making.

How does an Assistant Data Scientist typically collaborate with other team members on data projects?

As an Assistant Data Scientist, you’ll frequently work alongside data engineers, senior data scientists, and business analysts to support larger analytics projects. You may be responsible for preparing datasets, cleaning data, and running initial analyses under the guidance of more experienced colleagues. Collaboration often involves regular team meetings, sharing code via version control systems, and providing updates on your progress. This teamwork helps ensure project goals are met efficiently and provides opportunities to learn from others and develop your technical skills.

What are Assistant Data Scientists?

Assistant Data Scientists are entry-level professionals who support data science teams by assisting with data collection, cleaning, analysis, and visualization. They help prepare datasets, build simple models, and generate reports under the supervision of senior data scientists. This role offers hands-on experience with data science tools and methods, making it a valuable starting point for those aiming to advance in the field. Assistant Data Scientists typically work in industries like technology, healthcare, finance, and retail, contributing to data-driven decision making.

What is the difference between Assistant Data Scientist vs Data Scientist?

AspectAssistant Data ScientistData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some experienceMaster's or PhD in Data Science, Statistics, or related field; extensive experience
Work EnvironmentSupportive, entry-level team environment, often supervisedIndependent or team-based projects, more responsibility
Employer & Industry UsageEntry-level roles in tech, finance, healthcare, and consultingSenior roles across similar industries, often leading projects

Assistant Data Scientists typically have foundational skills and support data teams, while Data Scientists handle complex analysis and lead projects. The roles differ mainly in experience level, responsibility, and expertise required, with Assistant Data Scientists serving as a stepping stone to becoming Data Scientists.

What are the most commonly searched types of Data Scientist jobs in Charleston, SC? The most popular types of Data Scientist jobs in Charleston, SC are:
What are popular job titles related to Assistant Data Scientist jobs in Charleston, SC? For Assistant Data Scientist jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Assistant Data Scientist jobs in Charleston, SC look for? The top searched job categories for Assistant Data Scientist jobs in Charleston, SC are:
Assistant Data Scientist jobs near you

Senior Data Scientist

High Side Technology

Johns Island, SC • On-site

Full-time

Posted 23 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: