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Internship Remote Web Scraping Jobs in Louisiana

Remote roles will also have the opportunity to come together in our offices for moments that matter ... Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not ...

$40/hr

Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... accomplish their web goals. * Assist other departments and operational areas as requested to ...

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Internship Remote Web Scraping information

What is an internship remote web scraping position?

An Internship Remote Web Scraping position is an entry-level role where interns work from a remote location to collect and extract data from websites using programming tools and techniques. Interns typically learn how to use web scraping libraries, handle data storage, and respect website terms of service. This internship is ideal for those who want to gain experience in data collection, programming, and working with web technologies in a flexible, remote environment. It also helps develop valuable skills in Python, data analysis, and automation.

What are the key skills and qualifications needed to thrive as an internship remote web scraping professional?

To thrive as an Internship Remote Web Scraping professional, you need a strong understanding of programming languages like Python, web protocols, and data extraction techniques, often supported by coursework or projects in computer science or data analytics. Familiarity with tools such as BeautifulSoup, Scrapy, Selenium, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. Mastering these skills ensures efficient, ethical data collection and smooth collaboration in distributed technical teams.

What types of projects and technologies can I expect to work with during a remote web scraping internship?

As a remote web scraping intern, you'll typically work on projects involving data extraction from websites using tools like Python, BeautifulSoup, Scrapy, or Selenium. Your daily tasks may include building and maintaining scripts to gather structured data, handling anti-bot mechanisms, and cleaning or organizing the collected information. You’ll collaborate closely with data analysts, engineers, or project managers to ensure data quality and timely delivery. The remote nature of the role means communication and self-management skills are important, and you may participate in regular virtual meetings or code reviews with your team.

What is the difference between Internship Remote Web Scraping vs Entry-Level Data Analyst?

AspectInternship Remote Web ScrapingEntry-Level Data Analyst
Required CredentialsBasic programming skills, familiarity with web scraping toolsDegree in data science, statistics, or related field
Work EnvironmentRemote, project-based, often part-time or internshipRemote or on-site, full-time or part-time entry role
Industry UsageTech, marketing, research companies focusing on data extractionBusiness, finance, marketing, and tech sectors analyzing data

Internship Remote Web Scraping focuses on extracting data from websites using programming skills, often as a temporary or learning position. Entry-Level Data Analysts analyze and interpret data to support business decisions, requiring broader analytical skills and often a formal degree. While both roles may work remotely and involve data, Web Scraping internships emphasize technical data collection, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Remote Web Scraping jobs in Louisiana?

The most popular types of Remote Web Scraping jobs in Louisiana are:

What are popular job titles related to Internship Remote Web Scraping jobs in Louisiana?

For Internship Remote Web Scraping jobs in Louisiana, the most frequently searched job titles are:

Infographic showing various Internship Remote Web Scraping job openings in Louisiana as of June 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% Remote job distribution.

Clinical Data Scientist

RedSail Technologies, LLC

Shreveport, LA • On-site, Remote

$140K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY