1

Meta Data Science Jobs in Connecticut (NOW HIRING)

Analyze Meta and TikTok ad performance data to identify winning concepts and iterate quickly * Lead ... Science-backed or performance-based product marketing * Building creative testing systems from ...

Analyze Meta and TikTok ad performance data to identify winning concepts and iterate quickly * Lead ... Science-backed or performance-based product marketing * Building creative testing systems from ...

Meta Data Science information

What are typical daily responsibilities for someone in a Meta Data Science role?

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 is a Meta Data Science job?

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.

Does Meta hire data scientists?

Yes, Meta regularly hires data scientists to analyze user data, improve products, and develop machine learning models. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with data analysis tools and large datasets.

What are the key skills and qualifications needed to thrive in the Meta Data Science position, and why are they important?

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.

How much does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, with senior roles exceeding $200,000. Compensation varies based on experience, location, and skills in data analysis, machine learning, and programming tools like Python or R.

Is 40 too late for data science?

Meta Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Age should not be a barrier if you have relevant expertise and stay current with industry tools and techniques.

What does a Data Scientist at Meta do exactly?

A Data Scientist at Meta analyzes large datasets to identify patterns, develop models, and generate insights that inform product development and business strategies. They use statistical techniques, machine learning tools, and programming languages like Python or R to solve complex problems and improve user experience. Strong analytical skills and knowledge of data visualization are essential in this role.
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:
Infographic showing various Meta Data Science job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Insights Architect

$64.25 - $82.75/hr

Contractor

Posted 29 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


Next Level Business Services logo

About Next Level Business Services

Sourced by ZipRecruiter

We are one of the fastest growing transformational workforce solution providers headquartered in Atlanta, with presence across 15 global locations. Powered by the largest organic talent supplementation engine, strong digital capabilities and 8000+ strong team, NLB Services helps global enterprises reimagine their businesses to thrive in the digital age.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007