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Director Data Visualization Jobs in Massachusetts

Mastery of data visualization and dashboard development using data sets from various sources ... Direct experience supporting and maintaining risk-scoring models or similar predictive analytic ...

Mastery of data visualization and dashboard development using data sets from various sources ... Direct experience supporting and maintaining risk-scoring models or similar predictive analytic ...

Showing results 21-40

Director Data Visualization information

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

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

What are the most commonly searched types of Data Visualization jobs in Massachusetts?

The most popular types of Data Visualization jobs in Massachusetts are:

What cities in Massachusetts are hiring for Director Data Visualization jobs?

Cities in Massachusetts with the most Director Data Visualization job openings:

Scientific Co-Director, Data Science and Multimodal Integration

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted 19 days ago


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

46th of 618 rated colleges and universities


Job description

Job Summary:
Massachusetts Institute of Technology is seeking a Scientific Co-Director for Data Science and Multimodal Integration to lead the development and deployment of advanced data science and AI/ML methodologies. This role involves directing research output, contributing to publications, and mentoring staff within the Koch Institute community.
Responsibilities:
• direct the development and deployment of advanced data science and AI/ML methodologies in the KI community
• maintain current understanding of data analyses and multimodal integration methods
• develop novel methods leading to expanded DSMI services
• review DSMI staff research output and direct deployment of new techniques
• significantly contribute to publications and grant applications
• direct preparation of presentations for the community
• lead development and presentation of training materials
• participate in mentorship activities
Qualifications:
Required:
• Ph.D. in computer science, computational biology, data science, or a related field with a strong emphasis on AI/ML applications
• a minimum of seven years postdoctoral or equivalent research experience applying AI, machine learning (ML), and deep learning (DL) techniques to biological data
• experience must include evidence of original or collaborative scholarship documented by publications, software, or deployed intelligent systems
• demonstrated expertise in statistical learning, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets
• programming skills with experience in ML/DL frameworks
• data visualization and EDA expertise
• multi-modal data integration and representation learning across diverse data types
• shared resource and leadership or supervisory experience
Preferred:
• Experience with data governance, FAIR principles, and regulatory compliance
• knowledge of explainable AI (XAI) techniques and their application in biomedical contexts
• experience with federated learning or other advanced AI paradigms
• experience integrating AI models into pipelines
• familiarity with biomedical ontologies, knowledge graphs, or semantic data integration
Company:
Massachusetts Institute of Technology provides higher education, academic research, digital learning, and technology licensing programs. Founded in 1861, the company is headquartered in Cambridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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