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Data Science Assistant Jobs in Oregon (NOW HIRING)

Point C

OR · On-site

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll ... assistants to lightweight internal apps; focus is on initial concepts and working prototypes, not ...

LSU AgCenter

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Louisiana State University

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Louisiana Workforce Commission

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Robots and Pencils

OR · On-site

Apply a range of data science techniques and tools combined with subject matter expertise to solve ... AI assistants to deliver higher-quality work at pace What You'll Bring * 10+ years of data ...

BlueLabs, Inc.

OR · On-site

... * Assist on research development projects and data science project plans for clients and internal initiatives * Strive to support team excellence by documenting processes and evangelizing new ...

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Degree or equivalent years of experience in data science, statistics, computer science, or similar ... A willingness to leverage genAI tools to assist with rapid experimentation * Understanding of ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Data Science Assistant jobs in Oregon? For Data Science Assistant jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Oregon look for? The top searched job categories for Data Science Assistant jobs in Oregon are:
What cities in Oregon are hiring for Data Science Assistant jobs? Cities in Oregon with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Data Science AI Intern

Data Science AI Intern

Point C

OR • On-site

Other

Posted 9 days ago

Job description

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and clinical functions to identify manual workflows and build AI-assisted tools that drive real efficiency. This is not a shadow-and-observe internship. You'll have real ownership, real problems, and direct exposure to leadership. The internship is set for 10-12 weeks but may be extended based on business needs.

Primary Responsibilities:

  • Partner with operational leaders to identify high-friction, high-volume manual workflows and opportunities to automate and improve processes using AI and data science across claims, plan administration, client services, and clinical/UM functions
  • Design and build AI-assisted tools and prototype solutions using Anthropic's Claude platform - from prompt-based assistants to lightweight internal apps; focus is on initial concepts and working prototypes, not full-scale production builds
  • Prototype quickly; target concept-to-working-demo timelines of days, not weeks; partner with engineers and technical team members to hand off and build out solutions beyond the prototype stage
  • Collaborate with the AI & Automation Engineering team on solutions requiring API integrations or multi-system workflows
  • Document use cases, build logic, and outcomes so solutions are repeatable beyond the internship; write clear documentation capturing the idea, logic, and intended approach for each solution to enable handoff and continuity
  • Present findings and ROI framing to operational and executive leadership
  • Help build and deliver an AI Efficiency Playbook at the close of the internship - capturing what was built, what it replaced, recommended next steps, and a framework for how Point C can continue identifying and implementing AI-driven improvements

Qualifications:

  • Currently a Senior or Graduate student enrolled in a degree program in Business, Computer Science, Health Informatics, Operations, or a related field
  • Hands-on experience with AI tools such as Claude, ChatGPT, or similar LLMs
  • Strong written and verbal communication skills; able to translate technical ideas for non-technical audiences
  • Ability to work independently, manage ambiguity, and prioritize across multiple projects
  • Experience with prompt engineering, APIs, or workflow automation tools (Make, Zapier, Power Automate) is a strong plus
  • Familiarity with Python, JavaScript, or C#/.NET is a plus
  • Prior exposure to healthcare, TPAs, or regulated operational environments is a plus

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