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Meta Data Science Jobs in Connecticut (NOW HIRING)

WorldQuant

Quantitative Project Manager

Old Greenwich, CT · Hybrid

$125K - $150K/yr

Provide extensive operational support to our Meta Alpha Model business, which combines individual ... Computer Science, Mathematics, Economics, Finance, Engineering) * 3-5 years of experience in ...

WorldQuant LLC

Quantitative Project Manager

Greenwich, CT · On-site

$125 - $150/hr

Provide extensive operational support to our Meta Alpha Model business, which combines individual ... Computer Science, Mathematics, Economics, Finance, Engineering) * 3-5 years of experience in ...

Assa Abloy

Full Stack Developer, MarTech

New Haven, CT · On-site

... data flow, performance; familiarity with a React meta-framework (Next.js) * Semantic HTML and CSS ... Bachelor's Degree in Computer Science or Engineering and/or a High School Diploma/GED required.

ASSA ABLOY

Full Stack Developer, MarTech

New Haven, CT · Hybrid

... data flow, performance; familiarity with a React meta-framework (Next.js) * Semantic HTML and CSS ... Bachelor's Degree in Computer Science or Engineering and/or a High School Diploma/GED required.

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Meta Data Science information

What is a meta data science?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

What are the typical daily responsibilities of a meta data science?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What are the key skills and qualifications needed to thrive in meta data science?

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Meta Data Science jobs in Connecticut?

The most popular types of Meta Data Science jobs in Connecticut are:

What are popular job titles related to Meta Data Science jobs in Connecticut?

For Meta Data Science jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Meta Data Science jobs in Connecticut look for?

The top searched job categories for Meta Data Science jobs in Connecticut are:

Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Insights Architect

Next Level Business Services, Inc.

Hartford, CT

$64.25 - $82.75/hr

Contractor

Re-posted 2 days ago

Job description

Company Description

Next Level Business Services, Inc.

Job Description

Position : Insights Architect
Location : Hartford, CT
Informatics Capabilities (Practical Knowledge of) Required:


Audit and Reconciliation processes
Data Lineage concepts (code traceability)
Data Quality best practices and techniques
Data Warehouse and DataMart environments
Complex history generation and storage
Application architectural componentization and rationalization techniques and process
Architecture principles and best practices
UML component modeling and design processes and best practices
The delineation between architecture and high level design
NoSQL environments including tools
Meta data and the use of it by applications
Semantic data, technology, and solutions
Very large database environments
Big data environments and architecture including tools
Leadership of large and varied technical teams
Information Delivery and Business Intelligence application design
Data Analytics and Measures Data Enrichment Processing
Data Mining techniques for Insights using verified business facts
Business user classifications (ie. Adhoc, Novice, and Power Users)
Healthcare and Insurance Services industry knowledge
Complex source-to-target mapping rules and techniques
Data modeling of relational and dimensional databases
Multi-dimensional environments and modeling
Application modeling tool expertise (IDA, RSA respectively)

Data Science Capabilities (Practical Knowledge) Required:

                    Data Discovery and Exploration techniques and processes
                    Data Mining techniques for Insights using a wide set of source data
                    Determining the nature and usability of certain data
                    Techniques to apply data analysis for Business Requirements creation
                    Sand-Box environments and best practices
                    Structured, Unstructured, Semi-Structured Data techniques and processes

Experience Required

Candidate should have a minimum of 15 years of demonstrable architecture experience in a large organization.  The experience should contain at least 10 years of architecture support combined of these environments: warehouse, datamart, business intelligence, and big data.

Additional Information

Akash Singh
Phone: +1 (904 240-4265)
Akash(dot)singh(at)nlbservices(dot)com

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