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Full Time Meta Data Science Jobs (NOW HIRING)

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant ...

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant ...

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

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Showing results 1-20

Full Time Meta Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time meta data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for full time meta data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Meta Data Science vs Full Time Data Analyst?

AspectFull Time Meta Data ScienceFull Time Data Analyst
Required CredentialsBachelor's or Master's 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 teams within tech companies, often involving machine learning and AI projectsBusiness-focused environments, supporting decision-making through data reporting and visualization
Employer & Industry UsagePrimarily in tech, e-commerce, and social media companies like MetaAcross various industries including finance, marketing, and healthcare

Full Time Meta Data Scientists focus on developing advanced models and algorithms to extract insights from large datasets, often involving machine learning. In contrast, Full Time Data Analysts primarily interpret data through reports and visualizations to support business decisions. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and modeling.

More about Full Time Meta Data Science jobs
What cities are hiring for Full Time Meta Data Science jobs? Cities with the most Full Time Meta Data Science job openings:
What are the most commonly searched types of Meta Data Science jobs? The most popular types of Meta Data Science jobs are:
Infographic showing various Full Time Meta Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 47% Full Time, 51% Part Time, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Master Data Management Leader

Full-time

Posted 23 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

The Master Data Management Analyst will be responsible for defining, designing and building dimensional databases to meet business needs. Assistsing in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets.

Requirements

The ideal candidate would be someone with strong experience in consulting, stakeholder management as well as extensive experience working in Analytics space.

Details follow.

  • Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion.
  • Extensive experience in CPG Domain.
  • Experience in ETL processes and advanced SQL skills
  • Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills.
  • Working knowledge of SAP MDG .
  • Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts
  • Practical experience working in an Agile Methodology.
  • Benefits

    This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.