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Data Science Visualization Jobs in Massachusetts

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These ... Explore large datasets using modeling, analysis, and visualization techniques. * Communicate ...

Data science, machine learning, and analytics are a crucial part of this mission. These ... Explore large datasets using modeling, analysis, and visualization techniques. * Communicate ...

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ... Experience with data visualization or rapid app-building tools such as Tableau, Streamlit, or text ...

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

$64K - $65K/yr

The Data, AI and Genome Sciences (DAGS) department seeks a talented computational biologist to join ... Experience developing interactive data visualization tools, for example R Shiny, for multiomics ...

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 ...

Senior Data Scientist

Bridgewater, MA · On-site

$130 - $160/hr

At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide ... strong data visualization for structured storytelling to drive impactful business decisions.

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Manager & Summary ... manipulation, visualization, and statistical modeling to support clients in solving complex ...

Showing results 41-60

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

Sr. Data Scientist

Bose Corporation

Framingham, MA • On-site

$120K - $165K/yr

Full-time

Medical, Retirement

Re-posted 17 days ago


Job description

You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. We've dedicated ourselves to improving it for more than 60 years. And we're passionate down to our bones about making whatever you're listening to a little more magical.
Job Description
ABOUT BOSE
You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. And we've dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, "I can make this better," we've been relentlessly pushing forward to the next best thing.
Innovation is more than what we do. It's who we are - constantly learning and constantly curious. We never stop imagining what better sound sounds like. We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're passionate down to our bones about making whatever you're listening to a little more magical.
The Role:
At Bose, we aim to bring products into the world that people truly love, and we don't stop until the details are just right. Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences.
We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and causal modeling, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges. Within this role you will focus on driving the strategy for and building the next generation of forecasting models. You will work with a cross-functional team of data scientists and partner with teams from across Bose to influence decisions that will drive a significant impact to our bottom-line and our customers.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
  • Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
  • Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights.
  • Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Education:
  • MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field
  • Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science
  • Completed coursework related to Business/Management or Business/Customer Analytics

Skills:
  • 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems
  • 2+ years of experience leading data science projects
  • Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling.
  • Experience with experimental research methods (DOE, RCT, Quasi-experimental design)
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems
  • Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
  • Experience with and understanding of project management tools and principles
  • Ideal candidates will have experience with MMM as well.

At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in Framingham, Massachusetts is: $120,000-$165,000.In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC's "Know Your Rights: Workplace discrimination is illegal" Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.
Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.