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Python Data Analysis Jobs in Columbia, SC (NOW HIRING)

Translate marketing and business challenges into analytical use cases, assess feasibility, and ... Proficient in Python (preferred) and/or R Preferred: * Financial sector experience. * Preference in ...

Data Quality Engineer, AI Business

North, SC

$106K - $127K/yr

... analytics engineering, trust and integrity, or ML/LLM evaluation operations. * Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence ...

... data collection cleaning and feature engineering to prepare datasets for modeling ... Develop predictive models and statistical analyses using Python R or similar tools * Deploy monitor ...

... data collection cleaning and feature engineering to prepare datasets for modeling ... Develop predictive models and statistical analyses using Python R or similar tools * Deploy monitor ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for python data analysis in Columbia, SC is $47.87, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $54.38 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Columbia, SC? The most popular types of Python Data Analysis jobs in Columbia, SC are:
What are popular job titles related to Python Data Analysis jobs in Columbia, SC? For Python Data Analysis jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Columbia, SC look for? The top searched job categories for Python Data Analysis jobs in Columbia, SC are:
Data Science, AI & Analytics Lead

Data Science, AI & Analytics Lead

FORWARD EDGE AI, INC

Columbia, SC โ€ข On-site

Contractor

Posted 5 days ago


Job description

Data Science, AI & Analytics Lead

Location: ย Columbia, SC
Work Arrangement: Hybrid (Must reside within 50 miles of Columbia, SC)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time

Position Overview

Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise.

The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights.

ย 

Work Location Requirement

This is a hybrid position. Candidates must reside within 50 miles of Columbia, SCย and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access.

Key Responsibilities

  • Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions
  • Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms
  • Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making
  • Oversee enterprise data integration, ETL processes, API development, and data engineering activities
  • Establish and maintain data governance frameworks, metadata standards, and data quality controls
  • Identify authoritative data sources and ensure compliance with Army and DoD data strategies
  • Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives
  • Brief senior military and civilian leadership on analytical findings, recommendations, and program performance
  • Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions
  • Support Agile, DevSecOps, and modern data platform practices
  • Provide technical leadership and mentorship to analytics and data teams

Required Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field
  • Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines
  • Experience developing predictive models, machine learning solutions, and advanced analytics products
  • Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms
  • Experience with data integration, ETL development, and enterprise data management
  • Strong understanding of data governance, data quality, metadata management, and data stewardship
  • Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments
  • Active Secret Security Clearance
  • U.S. Citizenship required
  • Ability to communicate complex technical concepts to executive and non-technical audiences

Preferred Qualifications

  • Experience supporting Army, DoD, or federal data and analytics programs
  • Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms
  • Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications
  • Experience leading cross-functional technical teams
  • Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders

Why Forward Edge-AI

At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.