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Data Science Analyst Intern Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

$75K - $140K/yr

Use analytical research and exploratory techniques to uncover trends, opportunities, and emerging insights that support divisional and organizational goals. * Support Data Science Excellence:

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... Science team is responsible for measurement and optimization across Instacart's paid digital ...

... analytics, drive better experimentation and build online and offline ML solutions. We use a semi ... The Data Science group is made up of people from a diverse set of backgrounds and perspectives ...

To achieve our vision, we are expanding our Data Science & Analytics team to further transform the pharmacy experience for patients and providers. Our Data Science team partners closely with Product ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Design, analyze, and validate healthcare-specific data models within cloud-based analytic ... Master's Degree in Statistics, Mathematics, Computer Science, Data Science, or a related field from ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Translate analytical findings and statistical models into measures of business impact and actionable recommendations * Drive best practices in applying and deploying Data Science at scale YOU ARE

Commercial Data Analyst

OR · On-site +1

$95K - $120K/yr

Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Tableau and snowflake to deliver timely performance insights * Communicate clear, actionable insights and ...

New

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful ... Collaborate with engineering, product, and analytics teams to understand requirements and translate ...

Showing results 41-60

Data Science Analyst Intern information

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What job categories do people searching Data Science Analyst Intern jobs in Oregon look for? The top searched job categories for Data Science Analyst Intern jobs in Oregon are:
What cities in Oregon are hiring for Data Science Analyst Intern jobs? Cities in Oregon with the most Data Science Analyst Intern job openings:

Director, Data Science and Informatics

CareOregon

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


CareOregon rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

127th of 303 rated insurance


Job description

Director, Data Science and Informatics
This position provides strategic and operational leadership for CareOregon's Data Science, Data Engineering, and Business Intelligence functions within the Informatics and Evaluation (I&E) department, reporting to the Vice President of I&E within the Finance and Strategy division. The Director is accountable for setting vision, prioritization, and standards across technical teams, with a focus on developing people, maturing capabilities, and aligning work to organizational strategy, including the Healthcare Value workstream.
This role emphasizes leadership, cross-functional partnership, and delivery of high-impact analytical products rather than direct execution of analyses. This role oversees data platforms, data quality, and governance while driving the development of Data Science and AI capabilities. Partnering closely with business and technology stakeholders, the director ensures alignment on data definitions, enables trusted insights, and fosters a culture of innovation, efficiency, and data-driven decision-making across the organization.
This is a hybrid position with the expectation to be in office 2-3x/per week. We are looking for candidates local to the Portland Metro area.
Estimated Hiring Range:
$168,570.00 - $206,030.00
Bonus Target:
Bonus - SIP Target, 10% Annual
Current CareOregon Employees: Please use the internal Workday site to submit an application for this job.
Essential Responsibilities
Technical/Operational Leadership
  • Set technical vision, standards, and best practices across data science, data engineering, and business intelligence functions.
  • Guide the development of advanced analytical capabilities, including predictive modeling, forecasting, and self-service analytics.
  • Oversee prioritization and delivery of analytics and data products, ensuring alignment with organizational priorities and business value.
  • Oversee the development, maintenance, quality assurance, and documentation for the department's data tables and data mart resources.
  • Translate complex analytical concepts for leadership in the appropriate form to convey meaning, significance, and actionable information.
  • Collaborate with internal and external customers to identify, refine, and deliver data products tailored to the customer needs and specifications.
  • Oversee visual reporting (e.g., dashboards, scorecards, etc.) using data visualization tools such as Tableau when appropriate.
  • Oversee maintenance of technical documentation such as data dictionaries, business glossaries, metric definitions, and other data resources.
  • Prepare and/or deliver presentations to community groups, regulatory agencies, leadership, and other teams as needed.

Strategic/Operational Planning
  • Develop strategies and team capabilities aligned with organizational priorities, including Healthcare Value initiatives.
  • Provide input into strategic plans for the organization.
  • Develop annual program goals that align with organizational strategic goals in collaboration with the Vice President of Informatics and Evaluation.
  • Develop short- and long-term plans and policies; oversee the development and execution of standard operating procedures.
  • Maintain a business unit view while establishing department priorities, being cognizant of broader business unit and organizational impacts.
  • Own portfolio-level prioritization across teams, ensuring resources are directed toward high impact initiatives.
  • Create transparency into work content, team capacity, and tradeoffs to support department-level prioritization.

Financial/Resource Management
  • Recommend budgets in alignment with short- and long-term plans.
  • Manage resources to ensure priorities are accomplished.
  • Approve resource allocations within budget, including people, finances, and timelines; make decisions on exceptions.

Relationship Management
  • Lead effective communication system for work group(s), ensuring a collaborative culture.
  • Build and ensure effective relationships across internal teams and external organizations for current or future integration.
  • Partner with internal leaders and managers in identifying improvement plans and processes.
  • Provide department wide support and oversight in organizational alignment work with lines of business and regional teams; act as key liaison with other teams.
  • Provide strategic partnership and support to lines of business to implement operational and clinical initiatives that assure that CareOregon meets all health outcomes quality improvement targets, performance improvement programs, and regulatory deliverables.
  • Represent CareOregon in external meetings and functions, providing productive leadership presence and effectiveness.
  • Act as CareOregon delegate in relevant state and national committees and ensure our programs and policies consider the evolving landscape.
  • Foster a high-performance culture with a focus on innovation, quality, and continuous improvement.

Employee Supervision
  • Direct teams and establish team direction and goals in alignment with the organizational mission, vision, and values.
  • Identify work and staffing models; recruit, hire, and oversee a team to meet work needs, using an equity, diversity, and inclusion lens.
  • Identify department priorities; ensure employees have information and resources to meet job expectations.
  • Lead the development, communication, and oversight of team and individual goals; ensure goals, expectations, and standards are clearly understood by staff.
  • Manage, coach, motivate, and guide employees; promote employee development.
  • Incorporate guidance from CareOregon equity tools into people leadership, planning, operations, evaluation, budgeting, resource allocation, and decision making.
  • Ensure team adheres to department and organizational standards, policies, and procedures.
  • Evaluate employee performance and provide regular feedback to support success; recognize strong performance and address performance gaps and accountability (corrective action).
  • Perform supervisory tasks in collaboration with Human Resources as needed.

Experience and/or Education
Required
  • Minimum 10 years' experience in the programming and analysis of health insurance, medical claims and financial or health-related related data
  • Experience with health information, terminology and clinic outcomes or classification coding tools, CPT codes, ICD-9/10
  • Experience in leadership positions that include driving strategy, delivering impactful data engineering and data science initiatives for cross-functional teams, and scaling data platforms
  • Experience designing strategy in modern data architectures (data lakes, warehouses, ETL/ELT pipelines)
  • Strong background in overseeing data governance, data quality, and enterprise data management
  • Experience planning and leading complex analysis and reporting projects or any work experience and/or training that would likely provide the ability to perform the essential functions of the position

Preferred
  • Minimum 4 years' experience in a supervisory position
  • Master's degree in analytics, public health, or related field
  • Experience working with the Oregon Health Plan (OHP) benefit, the Oregon Health Authority (OHA) and/or the Centers for Medicare and Medicaid Services (CMS) rules and regulations
  • Experience with artificial intelligence, machine learning, and/or geographic information systems preferred

Knowledge, Skills and Abilities Required
Knowledge
  • Advanced knowledge of statistical software packages, such as Python, R, and SAS
  • Knowledge of the basic concepts of Managed Care, Medicaid, and/or Medicare
  • Knowledge of modern data platforms like Snowflake and Databricks
  • Knowledge of AI and Data Science, with the ability to guide development of advanced analytics solutions and translate business needs into data-driven insights
  • Knowledge of Tableau Desktop/Creator or other Business Intelligence applications preferred Knowledge of healthcare claims
  • Knowledgeable of current trends in clinical information systems and the associated technologies
  • Knowledge of Agile development processes preferred

Skills and Abilities
  • Ability to independently gather, compile and analyze data using statistical methods
  • Ability to provide strong leadership, project management and oversight of analytical projects
  • Ability to partner with business stakeholders to oversee data-driven solutions and insights
  • Ability to manipulate and analyze statistical data
  • Ability to manage the workloads of others and interact effectively and motivate staff to perform at their highest level
  • Ability to manage multiple tasks
  • Ability to effectively synthesize and present actionable interpretations of complex information in both written and verbal form to internal and external stakeholders
  • Excellent critical thinking and problem-solving skills
  • Ability and willingness to continually learn new skills
  • Ability to learn, focus, understand, and evaluate information and determine appropriate actions
  • Advanced skills with Microsoft Office applications including Access, Excel, and Word
  • Ability to work effectively with diverse individuals and groups
  • Ability to accept direction and feedback, as well as tolerate and manage stress
  • Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day
  • Ability to hear and speak clearly for at least 3-6 hours/day

Working Conditions
Work Environment(s): ☒ Indoor/Office ☐ Community ☐ Facilities/Security ☐ Outdoor Exposure
Member/Patient Facing: ☒ No ☐ Telephonic ☐ In Person
Hazards: May include, but not limited to, physical and ergonomic hazards.
Equipment: General office equipment
Travel: May include occasional required or optional travel outside of the workplace; the employee's personal vehicle, local transit or other means of transportation may be used.
Work Location: Office - 3 days/week
We offer a strong Total Rewards Program. This includes competitive pay, bonus opportunity, and a comprehensive benefits package. Eligibility for bonuses and benefits is dependent on factors such as the position type and the number of scheduled weekly hours. Benefits-eligible employees qualify for benefits beginning on the first of the month on or after their start date. CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). We also offer a strong retirement plan with employer contributions. Benefits-eligible employees accrue PTO and Paid State Sick Time based on hours worked/scheduled hours and the primary work state. Employees may also receive paid holidays, volunteer time, jury duty, bereavement leave, and more, depending on eligibility. Non-benefits eligible employees can enjoy 401(k) contributions, Paid State Sick Time, wellness and employee assistance program benefits, and other perks. Please contact your recruiter for more information.
We are an equal opportunity employer
CareOregon is an equal opportunity employer. The organization selects the best individual for the job based upon job related qualifications, regardless of race, color, religion, sexual orientation, national origin, gender, gender identity, gender expression, genetic information, age, veteran status, ancestry, marital status or disability. The organization will make a reasonable accommodation to known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the operation of our organization.

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