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Internship Meta Data Science Jobs in Georgia (NOW HIRING)

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 ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Partner in development of scalable solutions using large datasets with other data scientists on the ...

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 ...

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 ...

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Internship Meta Data Science information

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:

$110K - $132K/yr

Other

Re-posted 15 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, visitwww.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