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Assistant Remote Python Web Scraping Jobs in Tennessee

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Assistant Remote Python Web Scraping information

What are the key skills and qualifications needed to thrive as an Assistant Remote Python Web Scraping specialist, and why are they important?

To thrive as an Assistant Remote Python Web Scraping specialist, you need proficiency in Python programming, familiarity with web scraping techniques, and a basic understanding of HTML, CSS, and HTTP protocols. Experience with tools like BeautifulSoup, Scrapy, Selenium, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this remote, collaborative role. These skills and qualities are essential for efficiently extracting accurate data, troubleshooting challenges, and ensuring legal and ethical data handling.

What are some common challenges faced by an Assistant Remote Python Web Scraping professional and how can they be addressed?

Assistant Remote Python Web Scraping professionals often encounter challenges such as handling anti-bot measures, managing large volumes of data, and ensuring data accuracy. Overcoming these obstacles may involve using rotating proxies, implementing robust error handling, and adopting efficient data storage solutions. Collaboration with project managers and data analysts is also essential to clarify data requirements and maintain compliance with website policies. Continuous learning about new scraping tools and techniques can help you stay effective in this dynamic field.

What does an Assistant Remote Python Web Scraping professional do?

An Assistant Remote Python Web Scraping professional helps collect data from websites by writing and maintaining Python scripts to extract, process, and organize information. They typically work remotely, supporting data-driven projects by automating the retrieval of web content. Their responsibilities may include identifying data sources, ensuring compliance with site policies, cleaning data, and assisting senior developers with more complex scraping tasks.

What is the difference between Assistant Remote Python Web Scraping vs Data Analyst?

AspectAssistant Remote Python Web ScrapingData Analyst
Required SkillsPython, web scraping, data extractionData analysis, SQL, Excel, visualization
Work EnvironmentRemote, technical, project-basedRemote or on-site, analytical, report-focused
Industry UsageTech, e-commerce, researchFinance, marketing, healthcare

Assistant Remote Python Web Scraping involves extracting data from websites using Python, focusing on technical skills. Data Analysts interpret and visualize data to support decision-making. While both roles may work remotely and require analytical thinking, the former emphasizes programming and data extraction, whereas the latter centers on data interpretation and reporting.

What are the most commonly searched types of Remote Python Web Scraping jobs in Tennessee? The most popular types of Remote Python Web Scraping jobs in Tennessee are:
What are popular job titles related to Assistant Remote Python Web Scraping jobs in Tennessee? For Assistant Remote Python Web Scraping jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Assistant Remote Python Web Scraping jobs in Tennessee look for? The top searched job categories for Assistant Remote Python Web Scraping jobs in Tennessee are:
What cities in Tennessee are hiring for Assistant Remote Python Web Scraping jobs? Cities in Tennessee with the most Assistant Remote Python Web Scraping job openings:
Associate MLOps Engineer

Associate MLOps Engineer

BlueCross BlueShield of Tennessee

Chattanooga, TN • On-site, Remote

Full-time

Posted yesterday


Job description

BlueCross BlueShield of Tennessee is looking for an Associate MLOps Engineer to support data science teams in building, deploying, and operating machine learning solutions at scale. This is a hands-on, individual contributor role focused on technical execution, continuous learning, and collaboration. You will work closely with data scientists and engineers in a modern production environment, with mentorship from experienced MLOps professionals.

What You'll Bring:

  • Experience usingPython for scripting, data processing, or supporting machine learning workflows

  • Experience working with acloud-based platform (e.g., AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutions

  • Exposure toCI/CD practices, including Git-based workflows, automated testing, builds, and deployments

  • Understanding of themachine learning lifecycle, including experimentation, model versioning, and reproducibility (e.g., MLflow or similar tools)

  • Foundational knowledge ofdata engineering concepts, such as data ingestion, transformation, validation, and storage

  • Experience contributing to simplefull-stack applications, including:

    • Python-based backend APIs

    • Basic front-end views or dashboards to display data or model outputs

  • Willingness to follow established patterns and best practices to help move ML solutions from prototype to production

Nice to Have

  • Familiarity withOpenShift or Kubernetes, and working with containerized applications

  • Experience building or maintaininginfrastructure-as-code using Terraform (e.g., defining resources and managing environments)

  • Exposure toDatabricks for data engineering, analytics, or machine learning workflows

Why Join Us?

This fully-remote role is ideal for someone who enjoys hands-on technical work, is eager to develop modern MLOps practices, and wants to contribute to real-world production systems. You'll be joining a tax-paying not-for-profit organization and your work will directly contribute to our mission- peace of mind through better health.

Note

  • Final interviews onsite at our Chattanooga, TN headquarters are required for this role.

  • Sponsorship is not available for this role.

Job Duties & Responsibilities

  • Model Deployment: Ensuring that machine learning models are deployed efficiently and reliably into production environments.
  • Model Monitoring: Continuously monitoring the performance of models to detect issues like model drift and ensure they remain accurate and effective.
  • Automation: Automating the machine learning pipeline, including tasks like data preprocessing, model training, and evaluation.
  • Collaboration: Working closely with data scientists, software engineers, and IT operations to integrate machine learning models into business processes.
  • Version Control and Governance: Managing version control for models and ensuring compliance with governance policies.
  • Optimization: Identifying and implementing ways to improve the performance and scalability of ML systems Responsibility
  • Exploring cloud tools and technologies that assist data science with implementing their usecases.

Job Qualifications

Education

Bachelor's degree in computer science or equivalent work experience required. Equivalent experience is defined as 4 years of professional work experience in a corporate environment.

Experiences

2 years - Experience in software engineering and analytics technology (academic experience included)

Experience handling large datasets to build data pipelines.

Experience writing SQL and using Data Visualization tools.

Experience solving complex problems and independently developing solutions.

Skills/Certifications

Programming: Demonstrated proficiency in languages like Python or similar languages

Data Engineering: Strong understanding of data processing and storage solutions.

Problem-Solving: Ability to troubleshoot issues in ML models and infrastructure.

Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles, and accountability.

Excellent oral and written communication skills

Strong interpersonal and organizational skills

Number of Openings Available

1

Worker Type:

Employee

Company:

BCBST BlueCross BlueShield of Tennessee, Inc.

Applying for this job indicates your acknowledgement and understanding of the following statements:

BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.

Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:

BCBST's EEO Policies/Notices

BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.