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Science Visualization Jobs in Albany, NY (NOW HIRING)

You will work under the direction of the Assistant Bureau Director and a Research Scientist 3 Team Lead in either the Data Visualization Team or the National Core Indicators (NCI) Survey Team, as ...

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... Engineering, Computer Science from an accredited college or university or equivalent experience Minimum of 5 years of experience working in an data visualization and analytics. Desired ...

... Engineering, Computer Science from an accredited college or university or equivalent experience Minimum of 5 years of experience working in an data visualization and analytics. Desired ...

... Engineering, Computer Science from an accredited college or university or equivalent experience Minimum of 5 years of experience working in an data visualization and analytics. Desired ...

... Engineering, Computer Science from an accredited college or university or equivalent experience Minimum of 5 years of experience working in an data visualization and analytics. Desired ...

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Science Visualization information

See Albany, NY salary details

$24.3K

$48K

$78.4K

How much do science visualization jobs pay per year?

As of Jul 29, 2026, the average yearly pay for science visualization in Albany, NY is $48,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $51,600.00 per year, depending on experience, location, and employer.

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

How does a Science Visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

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

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
What are popular job titles related to Science Visualization jobs in Albany, NY? For Science Visualization jobs in Albany, NY, the most frequently searched job titles are:
What cities near Albany, NY are hiring for Science Visualization jobs? Cities near Albany, NY with the most Science Visualization job openings:

Industry & Function AI Decision Science Manager

Accenture

Albany, NY

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 488 rated business services


Job description

About the Role You are an AI & Data Decision Science Manager at Accenture, responsible for managing end-to-end data science projects, leveraging advanced analytics, machine learning, and AI technologies to create decision‐making systems that deliver innovation aligned with Accenture's 360° value commitment. Responsibilities Lead the delivery of Data Science, Artificial Intelligence, and Analytics initiatives/programs. Manage teams both onshore and offshore across Data Science and Machine Learning. Bridge between business and technical domains for internal and external purposes. Engage with business and analytics stakeholders to build and maintain relationships. Lead the sales process, originate, and lead sales solutioning for Data Science & Machine Learning related opportunities. Customize Data Science / Machine Learning / Artificial Intelligence / Analytics models and solutions for specific business problems within an industry or function. Collaborate across Accenture's network and partner with strategy, consulting, and tech teams in the sales and delivery processes. Develop Data Science/Machine Learning / Artificial Intelligence talent within the organization. Identify AI use cases in an industry and/or function by understanding an organization's goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap. Advise organizations on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value. Required Qualifications Bachelor's Degree, preferably in Data Science, Computer Science, Statistics, or related field. 5+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics. Preferred Qualifications 5+ years of experience building decision‐based frameworks and models to drive insights. 5+ years of high‐value consulting experience or equivalent internal consulting experience. 5+ years of experience leading workstreams and meeting deadlines. 5+ years of large‐scale delivery experience with minimal help. Proven track record of delivering successful AI or data science projects and teams. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit‐learn). Strong analytical and problem‐solving skills. Experience with AI Native and cloud platforms (e.g., OpenAI, Anthropic, AWS, Azure, Google Cloud). Knowledge of big data technologies (e.g., Hadoop, Spark). Knowledge of agent‐based modeling, reinforcement learning, and autonomous systems is highly desirable. Familiarity with data visualization tools (e.g., Tableau, Power BI). Experience in sales and business development. Strong program management and communication skills, both verbal and written. Driven and entrepreneurial: ability to originate and shape new deals, lead in client conversations, and go to market activities. Fluent in English (spoken and written). Excellent leadership and people skills, proven ability to build effective teams and foster a collaborative and inclusive environment, and proven ability to build strong client relationships. Experience bringing innovative ideas to projects. Master's degree in Data Science, Computer Science, Statistics, or related field. Travel Requirement Ability to travel up to 80%, as needed based on client expectations. Benefits Accenture offers a market‐competitive suite of benefits including medical, dental, vision, life, and long‐term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Equal-Employment-Opportunity-Statement.pdf#zoom=50). Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Accommodation Statement Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll‐free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's recruiting and hiring statement for more information on how we process your data during the recruiting and hiring process. #J-18808-Ljbffr


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