Remote Data Scientist/Analyst (Entry/Junior Level)

SC Works Trident

Charleston (SC)

Hybrid

USD 55,000 - 90,000

Full time

22 hours ago

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Benefits offered by this job

Remote work option

Professional growth opportunities

Job summary

SynergisticIT seeks an entry/ junior level Data Scientist/Analyst in Charleston, SC. The role focuses on developing data analysis algorithms, collaborating with engineers and scientists, and translating complex data into actionable insights.

You will work with Python, statistics, and ML concepts while supporting business objectives across Fortune 500 clients. Flexible remote options and growth opportunities are offered in a dynamic team environment.

Qualifications

Bachelor's or Master's in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT.
Must have Mathematics or Statistics background.
Experience in Python programming and understanding of the software development life cycle.
Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
Excellent written and verbal communication skills.
Highly motivated, self-learner, team player, and technically inquisitive.
Strong work ethics and creative problem-solving abilities.

Responsibilities

Collaborate with engineers, developers, and scientists to research and integrate algorithms.
Assess project requirements and develop data analysis algorithms.
Engage developers to share opinions and recommendations to meet deliverables.
Contribute to technical solutions and implement analyses on big data sets.
Integrate components like web-based UI and access control mechanisms for information systems.

Skills

Python programming

Mathematics & Statistics

Communication skills

Self-motivated

Team player

Creative problem solving

Deep Learning

Data visualization

NLP

Scala

Django

Education

Bachelors or Masters in CS/CE/Math/EE/Information Systems/IT

Mathematics or Statistics background

Job description

Remote Data Scientist/Analyst (Entry/Junior Level)

(Employer Name Not Available)

Occupation: Data Scientists Location: Charleston, SC - 29401 Job Type: Full Time (30 Hours or More) Posted: 11/29/2025

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

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge.

Minimum Background and Qualifications Requirement

Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
Must have Mathematics or Statistics background

Technical and Soft Skills Required

Experience in Python programming and understanding of the software development life cycle.
Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
Excellent written and verbal communication skills.
Highly motivated, self-learner, team player, and technically inquisitive.
Strong work ethics and creative problem-solving abilities.

Preferred skills

Deep Learning
Data visualization
NLP
Scala
Django

Roles and Responsibilities

Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
Assess project requirements and develop data analysis algorithms.
Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.

Benefits