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Meta Data Science Jobs in Georgia (NOW HIRING)

Azurity Pharmaceuticals, Inc.

Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

... science and commitment to quality into everything that we do. * Mission: * Implement the data ... Provide technical support related to data structures, data models and meta data management to ...

azurity

Data Engineer

Atlanta, GA

$110K - $132K/yr

... science and commitment to quality into everything that we do.. * Mission: * Implement the data ... Provide technical support related to data structures, data models and meta data management to ...

Launch Potato

Staff Data Scientist, Marketing

Atlanta, GA · Hybrid

$175K - $200K/yr

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

Launch Potato

Lead Data Scientist, AdTech

Atlanta, GA · Hybrid

$175K - $200K/yr

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Meta LLaMA (fine‑tuned/custom models for domain‑specific tasks). * Collaborate with Data ... Work cross‑functionally with R&D, Data Science, Product, and Engineering to deliver ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Meta LLaMA (fine-tuned/custom models for domain-specific tasks). * Collaborate with Data ... Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business ...

NAVA Software Solutions

MDM Developer

Atlanta, GA · On-site

... Science, MIS, or Information Management preferred) * Experience in Integration of ETL, Data Quality ... Meta Data Manager, Erwin. Leadership * Personal and professional integrity and strong work ethics

LinkTag

Strategic Accout Manager - Analytics

Atlanta, GA · On-site

$100 - $130/hr

Our platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality ...

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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.
What are the most commonly searched types of Meta Data Science jobs in Georgia? The most popular types of Meta Data Science jobs in Georgia are:
What are popular job titles related to Meta Data Science jobs in Georgia? For Meta Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in Georgia look for? The top searched job categories for Meta Data Science jobs in Georgia are:
Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in Georgia as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution.

Data Engineer

Azurity Pharmaceuticals, Inc.

Sandy Springs, GA • On-site

$110K - $132K/yr

Full-time

Re-posted 18 days ago

Job description

  • Azurity Pharmaceuticals, Inc. is a fast-growing pharmaceutical company focusing on the needs of patients requiring customized, user-friendly drug formulations, especially children and the elderly. Azurity's products have benefited millions of patients whose needs are not served by other commercially available therapies. For more information, visit www.azurity.com.
    Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do.
  • Mission:
    • Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist
    • Own the structural elements of data, e.g., data storage, data piping, interfacing with analytics platforms
    • Participate in data requirements, modelling and testing
  • Tasks & responsibilities:
    • Provide technical support related to data structures, data models and meta data management to relevant stakeholders
    • Creates data models, providing the right format and structure for the use case solutions
    • Participate in early data modeling and testing for use case development, provide input on how to improve proposed solutions and implement necessary changes
    • Extract relevant data to solve analytical problems; ensure development teams have the required data
    • Interact with the business ([function]) to understand all data requirements to develop business insights and translates them into data structures and data models, in close collaboration with Data Architect
    • Work closely with IT/IM teams on internal data acquisition (e.g., CRM, ERP) and with Data Architect for external data acquisition
  • Knowledge & experience:
    • 5+ years' experience with advanced data management systems (e.g., PostgreSQL, etc.)
    • Deep expertise in data modeling and structuring
    • Experience in high volume data environments
    • Ability to quickly learn new technologies
    • Developing and maintaining formal documentation that describes data and data structures including data modelling
    • Strong attention to detail and an ability to think critically and conceptually
    • Team oriented and flexible with proven track record in collaborating with multiple stakeholders
    • Strong verbal and written

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