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Data Science Visualization Jobs in Massachusetts

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process ... data visualization tools * Create valuable insights from datasets directly with stakeholders

$129K - $203K/yr

Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data Visualization, Environmental Toxicology, Foundation Engineering, Large Language Models (LLMs ...

New

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

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... You will help drive data-informed decision making through analytics, visualization, data product ...

... science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts. * Mastery of data visualization and dashboard development using data sets ...

... science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts. * Mastery of data visualization and dashboard development using data sets ...

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

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 ...

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 ...

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 ...

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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:
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Posted 16 days ago


Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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