1

Data Science Visualization Jobs in Colorado (NOW HIRING)

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ... Data visualization skills * Statistical analysis * SQL querying * Experience with big data tools ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics ... Knowledge of data visualization tools (e.g., Tableau, Power BI) * Familiarity with big data ...

Design, enhance, and optimize dashboards or visualization tools provided by the customer. * Upload ... Bachelor's degree in Computer Science, Cyber Security, Information Systems, Data Science, or ...

We need a Data Scientist with strong presentation skills and deep analytics expertise who can ... Data visualization and storytelling • Strong SQL skills • Leadership and stakeholder ...

Collaborate with Data Science teams to prepare high-quality datasets, engineer features, and ... Extensive expertise in data visualization, specifically in designing high-impact interactive ...

Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help ... • Data visualization skills • Statistical analysis • SQL querying • Experience with big ...

next page

Showing results 1-20

Data Science Visualization information

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 Colorado? For Data Science Visualization jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Colorado look for? The top searched job categories for Data Science Visualization jobs in Colorado are:
What cities in Colorado are hiring for Data Science Visualization jobs? Cities in Colorado with the most Data Science Visualization job openings:
Data Scientist - Mid with Security Clearance

Data Scientist - Mid with Security Clearance

CACI

Denver, CO • On-site

$69K - $141K/yr

Other

Medical, Retirement, PTO

Posted 2 days ago

New


Job description

Job Title: Data Scientist - Mid Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 9/1/2026 The Opportunity: * Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). * Join a collaborative team turning large, complex geospatial datasets into insights analysts can act on. * Work with modern Python-based tooling in an Agile, mission-focused delivery environment. * Grow your skills alongside senior data scientists, engineers, and mission stakeholders. Responsibilities: * Develop analytic models and data processing workflows against structured and unstructured datasets. * Clean, filter, transform, and enrich data to support exploratory and production analytics. * Build visualizations and dashboards for exploratory and comparative analysis. * Support integration of analytic capabilities into program systems alongside development teams. * Collaborate with analysts and Product Owners to refine analytic requirements into working solutions. * Document methodologies, assumptions, and model behavior. * Participate in Agile ceremonies and deliver within sprint and PI commitments. Qualifications: Required: * Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted). * 4+ years of data science or analytics experience. * Proficiency in Python (or R) and SQL for data manipulation and analysis. * Experience applying statistical analysis, classification, regression, or clustering techniques. * Experience with data visualization tools (matplotlib, Tableau, or similar). * Security Clearance (TS/SCI) with willingness to undergo polygraph examination. Desired: Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas). Familiarity with machine learning frameworks and model deployment. Experience operating within SAFe or Agile delivery frameworks. - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $69,100-$141,500 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.