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Data Science Visualization Jobs in Boston, MA (NOW HIRING)

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Experience with data visualization and communication of technical concepts * Strong analytical and ...

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Experience with data visualization and communication of technical concepts * Strong analytical and ...

Responsibilities: * Use data science and machine learning principles to develop effective ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Lead Data Scientist

Waltham, MA · Hybrid

$164K - $192K/yr

Visualization and effective presentations Key Accountabilities * Lead major projects from ... Data Science tools: statistics, Machine Learning, Generative AI * Python * SQL * Experience with ...

Associate's or Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, or ... Familiarity with data visualization, reporting, or dashboarding tools. * Strong problem-solving ...

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124.40K - $149.40K/yr

... data science, and analytics. Encourage high standards in model deployment, data security, performance optimization, and visualization practices, fostering a culture of innovation and excellence.

Associate's or Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, or ... Familiarity with data visualization, reporting, or dashboarding tools.  * Strong problem-solving ...

Senior Data Engineer (Boston, MA)

Boston, MA

$124.40K - $149.40K/yr

... data science, and analytics. Encourage high standards in model deployment, data security, performance optimization, and visualization practices, fostering a culture of innovation and excellence.

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. * 3+ years of ... Experience with data visualization tools (e.g., Tableau, Streamlit, Text to SQL). * Knowledge of ...

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Data Science Visualization information

See Boston, MA salary details

$58.7K

$118.9K

$175.5K

How much do data science visualization jobs pay per year?

As of May 29, 2026, the average yearly pay for data science visualization in Boston, MA is $118,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $133,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Data Science Visualization jobs in Boston, MA look for? The top searched job categories for Data Science Visualization jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Science Visualization jobs? Cities near Boston, MA with the most Data Science Visualization job openings:
Data Scientist, Senior

Full-time

Posted 20 days ago


Job description

Job Summary:
Federal Reserve Bank of Boston is focused on promoting sound growth and financial stability. As a Senior Data Scientist, you will analyze complex economic data to provide insights that influence policy recommendations and business strategies, collaborating with various teams to implement data-driven solutions.
Responsibilities:
• Manage data science projects from inception to completion. Ensure timely delivery of high-quality results that meet business requirements.
• Maintain a thorough understanding of a variety of tools and methods to answer a broad range of research questions from complex datasets. Design and implement advanced statistical models, machine learning algorithms, and data processing techniques.
• Design and develop software that enable research into modular, efficient, reusable, and maintainable scripts or packages.
• Work closely with economists and other stakeholders to understand their data needs and deliver solutions that drive business outcomes. Develop and promote best practices for reproducible research workflows. Communicate findings and recommendations effectively.
• Stay current with industry trends and emerging technologies. Identify opportunities for incorporating new methods and technologies into our data science practices.
• Implement data collection, storage, and processing pipelines to ensure data quality and integrity. Implement best practices for data governance and security.
• Develop and maintain dashboards, reports, and visualizations that provide clear and actionable insights to stakeholders.
Qualifications:
Required:
• B. Sc. Computer Science or Statistics or Mathematics.
• Minimum of 5 years of experience in data science including machine learning, deep learning, and advanced analytics.
• Proficiency in modern statistical and general-purpose programming languages.
• Expertise in data analysis, machine learning, and statistical modeling.
• Experience with data visualization tools and big data technologies.
• Strong problem-solving abilities with a deep understanding of statistical methods and data analysis techniques.
• Ability to interpret complex data and communicate insights effectively.
• Strong verbal and written communication skills.
• Ability to present complex technical concepts to non-technical stakeholders.
• Proven experience working in a cross-functional team environment and building strong relationships with stakeholders.
• All candidates must be U.S. citizens or lawful permanent resident aliens with at least three or more years of U.S. residency from the date of legal entry to the U.S.
Preferred:
• Advanced degree or relevant experience preferred.
• Programming languages: Python, R, Stata, SQL
• Frameworks: Apache Spark, Apache Airflow
• Cloud services: AWS (Lambda, EC2, ECS, IAM, Athena, S3)
• Deployment tools: Ansible, Terraform
• Operating systems: Linux (Alma, Red Hat)
• Statistical methods: Descriptive statistics, generalized linear models, basic econometrics
• Machine learning methods: Ability to translate a business or research problem into a model that can be trained or estimated. Common domains include clustering, regression, and neural networks. Familiarity with LLMs, parameter efficient fine-tuning, and RAG.
• Development tools: Git, GitLab
Company:
Federal Reserve Bank of Boston promotes sound growth and financial stability in New England and the nation. Founded in 1914, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.