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Data Science Visualization Jobs in Connecticut (NOW HIRING)

CVS Health

Data Engineer

Hartford, CT · On-site +1

$142K - $158K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics ... Visualization tools: PowerBI and Tableau;Designing and optimizing queries to build data pipelines;

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 1 Career Role Analyst - Data Science Work Location ... problems; execute visualization, analysis, and predictive modeling with senior support. • ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 2 Career Role Lead Analyst - Data Science Work ... visualization, analysis, and predictive modeling under guidance. • Proactively maintain models ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Bachelor's or Master's degree in Mathematics, Data Science, Computer Science with Artificial ... Data visualization tools Key Competencies * Analytical thinking and quantitative reasoning * Strong ...

The Hartford

Sr Staff Data Engineer

Hartford, CT · Hybrid

Curate and publish Data Products to support analytics, visualization, and machine learning use cases. * Collaborate with data analysts, data scientists, and BI teams to build data models 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 Connecticut? For Data Science Visualization jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Connecticut look for? The top searched job categories for Data Science Visualization jobs in Connecticut are:
What cities in Connecticut are hiring for Data Science Visualization jobs? Cities in Connecticut with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Data Engineer

Data Engineer

CVS Health

Hartford, CT • On-site, Remote

$142K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,277 frontline employees who took The Breakroom Quiz

81st of 104 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: Aetna Resources, LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field. Requires completion of a university-level course, research project, internship, or thesis in each of the following:CI/CD, Jenkins, GIT, or DevOps;Programming in Java, Python, and R;SAS or SQL programming languages;Agile methodologies or SAFe Software Development Principles;Spark, PySpark, and Scala;Hadoop architecture or HDFS commands;MySQL and NoSQL;Visualization tools: PowerBI and Tableau;Designing and optimizing queries to build data pipelines;Machine, learning, statistical analysis, and predictive modeling;NLP (Scikit, SpaCity, Pytorch, or Spark NLP);Vertex-AI;PyData ecosystem;Writing Extract/Transform/Load (ETL) processes;Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; andDeveloping and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure). Pay Range: $142418.00/year to $158620.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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