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Data Science Visualization Jobs in Colorado (NOW HIRING)

General Atomics

Data Scientist III

Aurora, CO · On-site

$98.10K - $171.40K/yr

Develop and deploy data visualization in order to communicate moderately complex concepts and data ... Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics ...

General Atomics

Data Scientist IV

Aurora, CO · On-site

$116.48K - $208.51K/yr

Develop and deploy data visualization in order to communicate moderately complex concepts and data ... Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Data visualization * Data integration * ETL Development * Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

Data visualization * Data integration * ETL Development * Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a ...

Apple

Data Scientist - Hardware Acoustics

Boulder, CO · On-site

This role sits at the intersection of data engineering, data science, and machine learning, with a ... Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).Experience ...

Apple

Data Scientist - Hardware Acoustics

Boulder, CO

$127.70K - $232.90K/yr

This role sits at the intersection of data engineering, data science, and machine learning, with a ... Perform exploratory data analysis (EDA) and data visualization to uncover insights, identify trends ...

Ra

Data Scientist

Denver, CO · On-site

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 ...

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Data Science Visualization information

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.

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 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 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.

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 Science Visualization jobs near you

Data Scientist 3 with Security Clearance

GRVTY

Colorado Springs, CO

Other

Posted 18 days ago

Job description

What You'll be Owning: * We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have : * Possess 2 or more of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.

* Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.

* Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.

algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

* Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g.

data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. * Active TS/SCI w/ poly

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