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Data Science Visualization Jobs in Beaverton, OR

SynergisticIT

Full-Stack Engineer

Portland, OR

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

Weir Group

Data Analyst

Portland, OR

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 ...

Weir

Data Analyst

Portland, OR

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 ...

Intel

Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

We develop technologies that bring down barriers and enable tomorrow's greatest scientific ... Data visualization (Power BI) * Query languages (e.g., SQL) * Experience in Python, Advanced SQL ...

Intel Corporation

Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

We develop technologies that bring down barriers and enable tomorrow's greatest scientific ... Data visualization (Power BI) * Query languages (e.g., SQL) * Experience in Python, Advanced SQL ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in Beaverton, OR

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 15, 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.
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Data Science Visualization jobs near you
Full-Stack Engineer

Full-Stack Engineer

SynergisticIT

Portland, OR

Other

Posted 22 days ago

Job description

SynergisticIT Job Opportunity

SynergisticIT is exceptional in skills and technologies enabled candidates. We ensure you get the attention required from tech clients which your resume requires.

Position open for all visas and US citizens. We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply.

Who Should Apply: Recent Computer science/Engineering/Mathematics/Statistics or Science Graduates looking to make their careers in the IT Industry. Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement. Candidates who lack experience, have had a break in careers, lack technical competency, different visa candidates who want to get employed and settle down in the USA.

Required Skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java, JavaScript, C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills

Required Skills for Data Science/Machine Learning:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: PowerBI, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis

Please understand skills are required by clients for selection even if it's a junior or entry level position the additional skills are the only way a candidate can be picked by clients. No third party candidates or C2C candidates. Please understand skills are required by clients for selection even if it's a junior or entry level position the additional skills are the only way a candidate can be picked by clients. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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