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Remote Meta Data Science Jobs in Connecticut (NOW HIRING)

TEKsystems

Agile Product Owner

Hartford, CT · Remote

$40 - $55/hr

... Data Science, and IT to define scope, refine requirements, and drive backlog readiness. The APO ... remote position. Application Deadline This position is anticipated to close on Jun 23, 2026. About ...

IQVIA

Associate Director, Data Analytics

Hartford, CT · Remote

... life sciences. This role owns end-to-end delivery across multiple workstreams, establishes ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

IQVIA

Associate Director, Data Analytics

Hartford, CT · Remote

... life sciences. This role owns end-to-end delivery across multiple workstreams, establishes ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Deloitte

Databricks Manager

Stamford, CT · On-site +1

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Hartford, CT · On-site +1

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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All JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Connecticut

Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
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 Remote Meta Data Science jobs in Connecticut? For Remote Meta Data Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Connecticut look for? The top searched job categories for Remote Meta Data Science jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Meta Data Science jobs? Cities in Connecticut with the most Remote Meta Data Science job openings:
Remote Meta Data Science jobs near you
Scientist, Translational Research

Scientist, Translational Research

Scientific Search

Norwalk, CT • On-site, Remote

Other

Posted 13 days ago

Job description

Scientist, Translational Research
Remote OR Hybrid
Join a mission-driven powerhouse transforming the future of cancer research. My client — one of the world’s most impactful forces in multiple myeloma innovation — is searching for a bold, curious, systems-level thinker ready to turn data into discoveries that change lives.
As a Scientist in Translational Research, you’ll work at the cutting edge of multi-omic analytics, computational oncology, and precision medicine. Think large-scale genomics, single-cell sequencing, immune profiling, and real-world clinical data — all channeled into one of the richest myeloma data ecosystems ever built. Here, your code won’t sit in a repository — it will directly inform how patients are treated.
Why You Should Apply
  • Shape next-generation biomarker and therapeutic insights.
  • Collaborate with leading academic and biopharma partners.
  • Contribute to high-visibility publications, abstracts, and conferences.
  • Competitive salary + exceptional benefits + a mission that truly matters.
What You’ll Do
  • Lead multi-omic analyses and computational workflows.
  • Enhance a global data-sharing platform used by top researchers.
  • Interpret complex datasets to uncover biological drivers of disease.
  • Present findings internally and across scientific forums.
About You
  • PhD with 2+ years postdoc in bioinformatics, cancer genomics, or related fields.
  • Strong Python/R, AWS/Linux, and multi-omics experience.
  • Strong communicator with a publication track record.
How To Apply
Send your resume to emily@scientificsearch.com and reference Job #19856.

Apply