ZipRecruiter

Log In

1

Data Science Visualization Jobs in New York (NOW HIRING)

Inmar

Director, Data Science (MarTech)

New York, NY · On-site

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

Merck & Co.

Senior Specialist, Data Science

Rahway, NJ · On-site +1

Animal Vaccination, Business Intelligence (BI), Collaborative Development, Computer Engineering, Computer Science, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization ...

MSD

Senior Specialist, Data Science

Rahway, NJ · On-site +1

Animal Vaccination, Business Intelligence (BI), Collaborative Development, Computer Engineering, Computer Science, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization ...

Deloitte

AI and Data Science Engineer III

New York, NY

$125K - $150K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... visualization platforms). * Translate ambiguous business problems into structured analytical ...

Deloitte

AI and Data Science Engineer III

Stamford, CT

$122K - $146K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... visualization platforms). * Translate ambiguous business problems into structured analytical ...

Deloitte

AI and Data Science Engineer III

Morristown, NJ · On-site

$117K - $141K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... visualization platforms). * Translate ambiguous business problems into structured analytical ...

Nokia

Data Science Co-op

Murray Hill, NJ · Hybrid

Data science training or experience with big data analysis and visualization. * Interest and experience with Machine Learning and AI. * Experience with data ingestion into a tool such as Splunk or ...

next page

Showing results 1-20

All JobsData Science Visualization JobsData Science Visualization Jobs in New York

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

Data Science Consultant

GARGI TECHNOLOGIES INC

Manhattan, NY

Other

Posted 7 days ago

Job description

Job Title: Data Science Consultant (Onsite)

Location: New York (Onsite)
Job Type: Contract / Full-Time

< data-start="2640" data-end="2656">Job Summary

We are seeking a Data Science Consultant to help clients transform their data into actionable insights. The ideal candidate will combine technical expertise with strong business acumen to deliver impactful solutions.

< data-start="2875" data-end="2896">Responsibilities
  • Analyze business challenges and recommend data-driven solutions.
  • Develop machine learning and statistical models.
  • Create executive-level reports and presentations.
  • Collaborate with cross-functional teams and client stakeholders.
  • Build data visualizations and performance dashboards.
  • Ensure data integrity and governance compliance.
  • Support model deployment and monitoring activities.
< data-start="3296" data-end="3316">Required Skills
  • Bachelor''s or Master''s degree in a quantitative field.
  • 4+ years of experience in data science, analytics, or consulting.
  • Strong Python, SQL, and data visualization skills.
  • Experience with machine learning, forecasting, and predictive modeling.
  • Excellent communication and client-facing skills.
< data-start="3622" data-end="3643">Preferred Skills
  • Experience with cloud-based analytics platforms.
  • Knowledge of AI/ML deployment and MLOps practices.

Work Schedule: Monday–Friday, 100% Onsite.
Compensation: Competitive salary, performance bonuses, and comprehensive benefits package.

By the way, if you''re using these for recruiting platforms like Dice, what do you think of the format and level of detail? I can tailor future postings to be more concise, more recruiter-focused, or more technical depending on your preference.

 

Apply