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

... science, analytics, or a similar role (preferably in a supply chain or logistics setting). * Strong proficiency in programming languages (e.g., Python, R, SQL). * Experience with data visualization ...

Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure ...

Oversee and manage multiple data science projects from inception to completion. Ensure timely ... Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations that ...

Proven experience in the use of the main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning * Strong data-centric ML development ...

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

... analysis and visualization, algorithm development, machine learning, and experimental design ... Utilize data science and software engineering best practices in day-to-day work, including ...

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

... analysis and visualization, algorithm development, machine learning, and experimental design ... Utilize data science and software engineering best practices in day-to-day work, including ...

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

... analysis and visualization, algorithm development, machine learning, and experimental design ... Utilize data science and software engineering best practices in day-to-day work, including ...

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 ...

Showing results 41-60

Data Science Visualization information

See Chelsea, MA salary details

$58.7K

$118.9K

$175.5K

How much do data science visualization jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data science visualization in Chelsea, MA is $118,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $133,700.00 per year, depending on experience, location, and employer.

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.

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 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.

What are popular job titles related to Data Science Visualization jobs in Chelsea, MA?

For Data Science Visualization jobs in Chelsea, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Chelsea, MA look for?

The top searched job categories for Data Science Visualization jobs in Chelsea, MA are:

Infographic showing various Data Science Visualization job openings in Chelsea, MA as of June 2026, with employment types broken down into 2% As Needed, 66% Full Time, 24% Part Time, 1% Temporary, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $118,931 per year, or $57.2 per hour.

Data Scientist

Needham, MA • On-site

SharkNinja
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 5K employees

Full-time

This job post has expired today. Applications are no longer accepted.


SharkNinja rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are seeking a skilled Data Scientist to support our BI & Analytics team supporting Global Operations and Finance by leveraging data science, analytics, and predictive modeling. The successful candidate will provide operational and financial insights into our logistics, procurement, forecasting, inventory management, and supplier performance to optimize efficiency, reduce costs, and enhance decision-making. 

Key Responsibilities: 

  • Data Analysis & Modeling
  • Analyze large datasets related to global operations and finance (e.g., inventory, forecast, spending, and logistics performance). 
  • Develop predictive models to forecast demand, inventory levels, and procurement needs. 
  • Use AI, statistical methods, machine learning algorithms, and simulation techniques to optimize supply chain performance. 
  • Process Optimization
  • Identify bottlenecks and inefficiencies in the supply chain, order management, logistics, and inventory balancing and recommend data-driven solutions. 
  • Analyze operational workflows to improve processes and reduce operational costs. 
  • Develop and implement dashboards to track key performance indicators (KPIs) and supply chain metrics in real-time. 
  • Collaboration & Communication
  • Work closely with cross-functional teams (procurement, supply/demand, finance, order management, logistics, manufacturing) to identify data needs and collaborate on problem-solving initiatives. 
  • Present findings and actionable insights to stakeholders through reports and data visualizations. 
  • Data Collection & Management
  • Work with IT and data teams to ensure data integrity, streamline data pipelines, and enhance data storage solutions. 
  • Design and maintain supply chain databases and data repositories to ensure continuous monitoring of performance metrics. 
  • Risk Management & Forecasting
  • Use data to assess and mitigate risks related to supply chain disruptions, supplier performance, and market changes. 
  • Create simulation models to anticipate and prepare for potential supply chain challenges. 

Required Skills & Qualifications: 

  • Bachelor's or Master's degree in Data Science, Supply Chain Management, Operations Research, Statistics, Mathematics, or a related field. 
  • 3+ years of experience in data science, analytics, or a similar role (preferably in a supply chain or logistics setting). 
  • Strong proficiency in programming languages (e.g., Python, R, SQL). 
  • Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Google Cloud). 
  • Familiarity with machine learning frameworks and predictive modeling. 
  • Excellent problem-solving, analytical, and communication skills. 
  • Ability to work in a fast-paced, cross-functional environment and manage multiple projects. 

Preferred Qualifications: 

  • Experience with ERP systems (e.g., SAP, Oracle) and supply chain management software. 
  • Advanced knowledge of inventory management, procurement, and logistics. 
  • Experience with big data tools and technologies (e.g., Hadoop, Spark). 
  • Understanding of AI and its potential applications in solving business problems. 
  • Knowledge of supply chain best practices and industry standards. 

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