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Meta Data Science Jobs (NOW HIRING)

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ... meta-data; * Knowledge of developing dimensional data models from unstructured content and ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ... meta-data; * Knowledge of developing dimensional data models from unstructured content and ...

Five9

Vice President, Data Science

The data science team is very much applied - their work directly makes its way into real products ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

Five9

OR

... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ... Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ...

Five9

Vice President, Data Science

San Ramon, CA · On-site

The data science team is very much applied - their work directly makes its way into real products ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

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Meta Data Science information

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 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.

How to get a data science job at Meta?

To secure a data science job at Meta, candidates should have a strong background in statistics, programming (especially Python or R), and experience with data analysis and machine learning. Building a portfolio of relevant projects, gaining experience through internships, and demonstrating problem-solving skills are also important. Familiarity with tools like SQL, data visualization, and understanding of social media or tech platforms can enhance prospects.

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.

How much do meta data scientists make?

Meta data scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and data engineering can earn higher salaries, often exceeding $180,000 per year.
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What states have the most Meta Data Science jobs? States with the most job openings for Meta Data Science jobs include:
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Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Master Data Management Leader

Tiger Analytics Inc.

Dallas, TX • On-site

Full-time

Re-posted 8 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.

    Apply