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Data Science Visualization Jobs in Beaverton, OR

Information science Signal processing Data mining Data warehousing Performance computing Big Data Data extraction and visualization Business process analysis: process and workflow efficiency Six ...

Information science * Signal processing * Data mining * Data warehousing * Performance computing * Big Data * Data extraction and visualization * Business process analysis: process and workflow ...

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

ERP AI Engineer - Manager

Portland, OR ยท On-site

$99K - $232K/yr

... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

Recent Computer science/Engineering/Mathematics/Statistics or Science Graduates looking to make ... Knowledge of Statistics, Python, data visualization tools * Excellent written and verbal ...

Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau ... We do this by combining our deep customer insights, world-class engineering, materials science ...

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Showing results 1-20

Data Science Visualization information

See Beaverton, OR salary details

$56.2K

$113.9K

$168K

How much do data science visualization jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science visualization in Beaverton, OR is $113,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $128,000.00 per year, depending on experience, location, and employer.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

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

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Beaverton, OR? For Data Science Visualization jobs in Beaverton, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Beaverton, OR look for? The top searched job categories for Data Science Visualization jobs in Beaverton, OR are:
What cities near Beaverton, OR are hiring for Data Science Visualization jobs? Cities near Beaverton, OR with the most Data Science Visualization job openings:
Senior Analytics Analyst - Healthcare Data

Senior Analytics Analyst - Healthcare Data

Surescripts

Beaverton, OR โ€ข Hybrid

$123K - $150K/yr

Other

Medical, Life, Retirement, PTO

Posted 24 days ago


Job description

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

Job Summary

The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives across Surescripts solutions. This role owns analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data. The Senior Analyst serves as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.


Responsibilities
  • Own end-to-end analytics deliverables: scope the problem, define success metrics, develop analytic plans, execute analyses/models, and present results with confidence.

  • Develop and deliver complex descriptive and diagnostic analyses; contribute to predictive/prescriptive efforts with appropriate methods selection and validation.

  • Partner closely with product and engineering to translate ambiguous needs into measurable questions, testable hypotheses, and scalable analytic outputs.

  • Produce high-quality visualizations and narratives that communicate "so what" implications and recommended actions for both technical and business audiences.

  • Establish and maintain reusable analytic assets (queries, datasets, templates, documentation) that improve team efficiency and consistency.

  • Raise the team's quality bar through code review participation, QA checklisting, and methodology transparency (limitations, sensitivity checks, assumptions).

  • Mentor colleagues and team members through coaching, feedback, and structured support on analytic approach and stakeholder communication.

  • Support client-facing work as needed (e.g., preparing exhibits, explaining methods)

Qualifications


Basic Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required.

  • 5+ years of experience in analytics roles, with demonstrated ownership of multi-stakeholder analyses; healthcare analytics experience strongly preferred.

  • Advanced SQL proficiency; strong Python/R capability for analysis and modeling.

  • Strong visualization and storytelling capability in Tableau/Looker (or equivalent).

  • Proven ability to work with large datasets and to implement sound validation and reproducibility practices.

  • Demonstrated success translating complex analytics into clear, actionable insights.

  • Strong project management habits: prioritization, expectation-setting, and consistent delivery in dynamic conditions.

Preferred Qualifications

  • Master's degree in a quantitative field preferred

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now


We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $123,500 - $150,900 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.