Data Scientist /data analyst entry level /AI /software programmer(Remote)

SC Works Trident

Savannah, Northern (GA, KY)

Hybrid

USD 55,000 - 75,000

Full time

31 hours ago
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Job summary

SynergisticIT is seeking an entry-level Data Scientist/Data Analyst focusing on AI and software programming, with remote work options in Savannah, GA.

The role emphasizes turning raw data into actionable insights using Python and SQL, data visualization, and basic ML techniques. The position is full-time and can be performed remotely.

Ideal candidates are curious, detail-oriented, and eager to grow in a data-driven environment.

Qualifications

  • Data analytics fundamentals required
  • Experience with data manipulation and visualization is a plus

Responsibilities

  • Develop and implement analytics applications to transform raw data into information.
  • Apply data mining, modeling, NLP, and ML to analyze large datasets.
  • Visualize, interpret, and report data findings in dynamic reports.

Skills

Data analysis
Python
SQL
Machine learning basics

Tools

Pandas
Tableau

Job description

Data Scientist /data analyst entry level /AI /software programmer(Remote)

Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026

Positions available: 1 Source: SynergisticIT Web Site: www.synergisticit.com Onsite / Remote: Work at home all of the time

Job #: 24-02321

Type of Job: Not Available Full or Part Time: Full Time (30 Hours or More) Job Duration: Not Available

Minimum Experience Required: Not Available

Minimum Education Level Required: Not Available Required License/Certification: Not Available

Occupation Information for Data Scientists

Data Scientists - Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

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