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Remote Python Data Analysis Jobs in Columbia, SC

DetaPent

Junior Data Scientist

Columbia, SC · On-site +1

$60K - $90K/yr

Columbia, SC (Remote) Duration: Full Time Responsibilities Collaborate with stakeholders to ... Perform data analysis, generate insights, and identify patterns to support decision-making. Design ...

Welo Data

Online Data Analyst - Remote

Columbia, SC · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

New

DataAnnotation

Data Scientist

Columbia, SC · Remote

$40/hr

In this role you will need to hold an expert understanding of data analysis. Other related fields ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

Acxiom

Decision Support Analyst (Remote)

Columbia, SC · Remote

Provides data, analysis and recommendations to support multiple technical operations and ensure ... SAS, Python experience. #GD17 Location Primary location: Homebased - Conway, Arkansas Acxiom is an ...

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How much do remote python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python data analysis in Columbia, SC is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $61.59 per hour, depending on experience, location, and employer.
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Remote Python Data Analysis jobs near you

Junior Data Scientist

DetaPent

Columbia, SC • On-site, Remote

$60K - $90K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

This range is provided by DetaPent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $60,000.00/yr - $90,000.00/yr Title: Jr.

Data Scientist / AI-ML Engineer Location: Columbia, SC (Remote) Duration: Full Time Responsibilities Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection. Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques. Perform data analysis, generate insights, and identify patterns to support decision-making.

Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy. Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies. Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies.

Collaborate with engineers and business teams to integrate models into production systems. Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability. Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders.

Qualifications Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field. 1+ years of hands-on experience in data science, AI, or ML engineering. Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).

Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling. Experience with anomaly detection techniques — supervised, unsupervised, and hybrid approaches. Experience in Generative AI based implementations.

Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks. Strong problem-solving, analytical thinking, and communication skills. Experience in deploying ML models into production environments, ML Ops, preferably on AWS.

Regards, DetaPent Seniority Entry level Employment type Full-time Industries IT Services and IT Consulting #J-18808-Ljbffr

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