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Weekend Python Data Analyst Jobs in Raleigh, NC (NOW HIRING)

LexisNexis

Senior FinOps Analyst -- AI

Raleigh, NC

$104K - $174K/yr

Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud ... Analyze cost movements and explain drivers, expected impacts, and forward-looking implications.

Dlapiper

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Dlapiper

Data Engineer

Raleigh, NC · Hybrid

$111K - $133K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure). * Research and stay up to date with the latest advances in AI, Data Science, and Machine ...

NetApp

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

Key Responsibilities Design and refine data models that effectively support enterprise analytics ... Job Requirements Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an ...

NetApp, Inc.

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

Key Responsibilities Design and refine data models that effectively support enterprise analytics ... Job Requirements Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an ...

IQVIA

Clinical Trials Feasibility Analyst

Durham, NC · On-site +1

$88K - $220K/yr

Support Clinical Operational Strategy by using Python and SQL to query, aggregate, analyze, and derive results from clinical trial operations data. * Collaborate with clinical study teams to ...

IQVIA

Clinical Trials Feasibility Analyst

Durham, NC · On-site +1

$88K - $220K/yr

Support Clinical Operational Strategy by using Python and SQL to query, aggregate, analyze, and derive results from clinical trial operations data. * Collaborate with clinical study teams to ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

The role requires expertise in predictive modeling and big data analytics, with a focus on ... Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ...

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All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in Raleigh, NC

Weekend Python Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do weekend python data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for weekend python data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

Weekend Python Data Analyst jobs near you

Senior Data Scientist[Remote]- W2 Role

Raleigh, NC • On-site

SmartIPlace
IT Services • 51 - 200 employees
Learn more about SmartIPlaceexternal

Contractor

Posted 26 days ago

Job description

Senior Data Scientist II
Position: Senior Data Scientist II
Location: Remote (EST) — Hybrid in Raleigh, NC preferred
Rate Type: BH W2
Duration: 6 months, with possible extension/conversion
Interview Process: 2 rounds via video

Position Overview

LexisNexis is seeking experienced Senior Data Scientist II professionals to develop innovative, customer-facing data science and AI solutions. The ideal candidate will have strong expertise in modern data science, Generative AI, LLMs, RAG, agentic AI, unstructured data, and production machine learning.

You will work closely with Machine Learning Engineers (MLEs) and cross-functional teams throughout the product development and production lifecycle, turning complex data into scalable, customer-focused solutions.

Required Qualifications

  • 8+ years of total professional experience in data science, machine learning, or a closely related field.
  • 5+ years of recent Data Science experience, with hands-on expertise in areas such as:
    • MCP
    • RAG implementations, evaluations, validations, and proof-of-concepts
    • Agentic AI
    • Generative AI
    • LLM applications
    • Unstructured data
  • Proven experience building customer-facing data science or AI products.
  • Experience partnering with Machine Learning Engineers (MLEs) throughout the production lifecycle.
  • Strong Python programming skills.
  • Strong understanding of machine learning algorithms, including:
    • Deep Learning
    • Gradient Boosting
    • Random Forests
  • Experience working directly with Large Language Models (LLMs) and Transformer-based architectures, including:
    • BERT
    • RoBERTa
    • T5
  • Hands-on experience applying LLM technologies such as:
    • ChatGPT
    • GPT-3.5
    • Claude
    • Mistral
  • Experience working with large datasets and distributed computing systems, such as Hadoop and Spark.

Preferred Qualifications

  • Experience working within large enterprise environments.
  • Experience taking AI/ML solutions from experimentation and proof-of-concept through production.
  • Strong understanding of modern Generative AI and LLM ecosystem.
  • Experience working with cross-functional teams to deliver business and customer-focused solutions.

Key Responsibilities

  • Develop advanced data science and AI solutions using complex datasets.
  • Design, implement, evaluate, and validate RAG, agentic AI, MCP, and Generative AI solutions.
  • Work with unstructured data to extract meaningful insights and develop innovative AI applications.
  • Apply machine learning and deep learning techniques to solve complex business problems.
  • Work directly with LLMs and Transformer-based architectures.
  • Collaborate closely with MLEs to move models and AI solutions into production.
  • Contribute to the full product lifecycle, from research and experimentation through deployment and optimization.
  • Analyze large-scale datasets using distributed computing technologies such as Spark and Hadoop.
  • Partner with cross-functional teams to translate business requirements into data-driven solutions.
  • Drive actionable insights that support business strategy, customer experience, and product growth.
  • Stay current with emerging developments in Generative AI, LLMs, machine learning, and AI engineering.

Ideal Candidate

The ideal candidate is a senior-level Data Scientist with strong hands-on Generative AI/LLM experience, particularly someone who has recently worked on RAG, MCP, agentic AI, unstructured data, and customer-facing AI products and has experience taking solutions into production.

Must-Have Keywords:
Python | Data Science | Generative AI | LLM | RAG | MCP | Agentic AI | Unstructured Data | Machine Learning | Deep Learning | Transformers | BERT | RoBERTa | T5 | Spark | Hadoop | Customer-Facing Products | MLE Collaboration

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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