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Internship Python Data Science Jobs in Remote, OR

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... medical data. Requirements * B.S. in Computer Science, Engineering, or a related field. * Core ... Python, Go, or Rust) with strong coding fundamentals. * Solid experience with various database ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

Senior Lead IT Engineer

OR · On-site +1

$132K - $176K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Bachelor's or Master's degree in Information Technology, Computer Science, or a related field, or ...

AI Agent ML Engineer

OR

$165K - $190K/yr

Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

Software Engineer II

OR · Remote

$67K - $90K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Science or similar is preferred) * Working knowledge of software development methodologies ...

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

... scientific and technological excellence. Across the world, the Group enables its customers and ... Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and ...

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

... scientific and technological excellence. Across the world, the Group enables its customers and ... Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and ...

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Internship Python Data Science information

See Remote, OR salary details

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$22

$42

How much do internship python data science jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for internship python data science in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Remote, OR? For Internship Python Data Science jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Remote, OR look for? The top searched job categories for Internship Python Data Science jobs in Remote, OR are:
What cities near Remote, OR are hiring for Internship Python Data Science jobs? Cities near Remote, OR with the most Internship Python Data Science job openings:
Infrastructure Engineer

Infrastructure Engineer

Anytime AI

OR • Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 18 days ago


Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As an Infrastructure Engineer, you will play a pivotal role in building and maintaining the foundational systems that power our AI-driven legal tech platform. Your work will directly ensure the stability, scalability, and security of our services. You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and AI researchers.

Responsibilities

  • Design, build, and maintain high-availability, high-concurrency, and low-latency distributed infrastructure to support the platform’s rapidly growing business needs.
  • Lead the in-depth analysis of microservices and web service architectures, tackle performance bottlenecks, and continuously optimize API response times and overall system throughput.
  • Establish comprehensive monitoring, alerting, and logging systems to ensure 99.9%+ high availability for core services. Rapidly respond to and troubleshoot complex production incidents.
  • Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and Kubernetes for advanced service orchestration and scheduling.
  • Collaborate closely with product managers, designers, and backend engineers to translate complex legal workflows into intuitive, responsive UI components.
  • Optimize data routing across complex systems, ensuring highly efficient and stable operation of relational databases, NoSQL databases (such as MongoDB), and caching/vector stores (such as Redis, Pinecone).
  • Uphold the highest standards of software quality and data security at the infrastructure level, implementing security best practices given the strict sensitivity of legal and medical data.

Requirements

  • B.S. in Computer Science, Engineering, or a related field.
  • Core: Extensive experience in developing distributed systems, with the ability to independently design and implement complex, scalable backend architectures.
  • Core: Deep understanding of Web Service architecture, with exceptional skills in system tuning, performance bottleneck analysis, and resolution (e.g., handling high concurrency and massive data processing).
  • 3+ years of experience in backend development, infrastructure engineering, or Site Reliability Engineering (SRE).
  • Proficiency in at least one major backend programming language (such as Python, Go, or Rust) with strong coding fundamentals.
  • Solid experience with various database technologies (MySQL, PostgreSQL) and NoSQL/caching mechanisms (Redis, DynamoDB, etc.).
  • Familiarity with the cloud-native ecosystem, including hands-on experience with containerization (Docker), orchestration tools (Kubernetes), and Infrastructure as Code (IaC, e.g., Terraform).
  • Strong analytical and problem-solving skills, adept at identifying issues and maintaining optimal performance under varying loads.

Preferred Skills

  • Major Plus: Hands-on experience participating in the architecture or backend service development of Agentic AI Systems.
  • Experience developing foundational support services for AI-driven products or open-source LLM projects.
  • Familiarity with information security compliance standards (e.g., SOC2, HIPAA) and experience architecting systems for sensitive legal or healthcare data.
  • Capability to work effectively in a fast-paced and dynamic startup environment.

This Might Be for You If...

  • You thrive on proactivity and have a “get things done” mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for building resilient, scalable infrastructure that enables cutting-edge AI products.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive platform reliability and performance.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary and equity package.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team at the forefront of AI technology.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If you’re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai