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Remote Python Analyst Jobs in Chesapeake, VA (NOW HIRING)

USAA

Actuary

Chesapeake, VA · On-site +1

$127K - $243K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and ...

USAA

Actuary

Chesapeake, VA · On-site +1

$127K - $243K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and ...

Frontier Technology Inc.

AI/ML Engineer

Chesapeake, VA · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Collaborate with data engineers, software developers, and mission analysts to ensure AI models are ...

Frontier Technology Inc.

AI/ML Engineer

Chesapeake, VA · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Collaborate with data engineers, software developers, and mission analysts to ensure AI models are ...

Think Consulting

Sr Data & AI Engineer

Virginia Beach, VA · On-site +1

$101K - $121K/yr

Flexible / Hybrid / Remote (as applicable) About the Role We are seeking a highly experienced ... analytics engineering, or related technical roles. * Strong programming skills in Python, with ...

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Remote Python Analyst information

See Chesapeake, VA salary details

$33K

$80.3K

$132.1K

How much do remote python analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote python analyst in Chesapeake, VA is $80,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

What is a Remote Python Analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

How does a Remote Python Analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

What is the difference between Remote Python Analyst vs Data Analyst?

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

What are the key skills and qualifications needed to thrive as a Remote Python Analyst, and why are they important?

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.
What are popular job titles related to Remote Python Analyst jobs in Chesapeake, VA? For Remote Python Analyst jobs in Chesapeake, VA, the most frequently searched job titles are:
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What cities near Chesapeake, VA are hiring for Remote Python Analyst jobs? Cities near Chesapeake, VA with the most Remote Python Analyst job openings:
Remote Python Analyst jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hampton, VA • Remote

Other

Posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply