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Meta Data Science Jobs in Georgia (NOW HIRING)

Azurity Pharmaceuticals, Inc.

Data Engineer

Sandy Springs, GA · On-site

$110.10K - $132.20K/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 · On-site

$110.10K - $132.20K/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 ...

Meta

GA

$107K/yr

Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS ... In this role, you will utilize your knowledge in hyperscale data center structured cabling, fiber ...

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

Miqdigital

Paid Social Manager

Atlanta, GA

Manage a growing portfolio of omnichannel clients to lead efforts on Meta(Facebook/Instagram ... We're experts in data science, analytics and programmatic trading, and we're always ready to react ...

Miqdigital

Paid Social Manager

Atlanta, GA

Manage a growing portfolio of omnichannel clients to lead efforts on Meta (Facebook/Instagram ... We're experts in data science, analytics and programmatic trading, and we're always ready to react ...

Worldpay

Sr. Product Manager, Agentic Commerce

Atlanta, GA

$121.60K - $160.60K/yr

... into data, test hypotheses, and make informed trade-offs - Regularly undertake reviews to ... Computer Science background or other similar technical experience It's a bonus if you have ...

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Meta Data Science information

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.

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.

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.
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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:
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Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in Georgia as of May 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Temporary. Highlights an 95% Physical, and 5% Remote job distribution.
Data Engineer

Data Engineer

Azurity Pharmaceuticals, Inc.

Sandy Springs, GA • On-site

$110.10K - $132.20K/yr

Full-time

Posted 9 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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