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Temporary Machine Learning Postdoc Jobs in Georgia

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Exposure to AI or machine learning governance, data protection controls, or secure enterprise ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... etc.), machine learning, model development, business information visualization, etc. 5.Working ...

Temp Warehouse Clerk

Atlanta, GA

$15.50 - $18.50/hr

... pallet wrap machines and maintain the highest possible safety standards Maintain cleanliness of entire warehouse and practice safe food handling procedures by learning and practicing IFS ...

Employment Type: Part-Time, Temporary Available shifts: Mid-Shift, Closing, Overnight Location ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Temporary Available shifts: Mid-Shift, Closing, Overnight Location ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Part-Time, Temporary Available shifts: Mid-Shift, Closing, Overnight Location ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Georgia? The most popular types of Machine Learning Postdoc jobs in Georgia are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Georgia? For Temporary Machine Learning Postdoc jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Georgia look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Georgia are:
What cities in Georgia are hiring for Temporary Machine Learning Postdoc jobs? Cities in Georgia with the most Temporary Machine Learning Postdoc job openings:
    Infographic showing various Temporary Machine Learning Postdoc job openings in Georgia as of May 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% Hybrid job distribution.
    Enterprise Payments - Decision Science Director

    Enterprise Payments - Decision Science Director

    Truist

    Atlanta, GA

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 8 days ago


    Truist rating

    8.3

    Company rating: 8.3 out of 10

    Based on 109 frontline employees who took The Breakroom Quiz

    34th of 141 rated banks


    Job description

    The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

    Need Help?

    If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

    Regular or Temporary:

    Regular

    Language Fluency: English (Required)

    Work Shift:

    1st shift (United States of America)Please review the following job description:Direct the efforts of highly skilled analytics professionals, including Decision Science Managers and individual contributors, in the development and implementation of advanced analytics solutions to drive incremental franchise value across supported business unit. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design, and behavioral sciences, the incumbent will act as an advisor to Truist Senior and Executive Leadership to support enterprise strategic initiatives, producing analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

    ESSENTIAL DUTIES AND RESPONSIBILITIES
    Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.


    1. Serve as a thought leader who understands both business functions/operations and technology/data capabilities and has the ability to translate across both in order to expand the use of data driven insights to inform strategic direction while also expanding the questions that data is used to answer.
    2. Lead a team of highly skilled senior-level analytics professionals including Decision Science Managers with a focus on a distinctive competency as internal consultants leveraging business acumen, operational understanding and analytics capabilities to optimize business performance and enhance client experiences.
    3. Perform full people management responsibilities including talent acquisition, coaching, and organization of analytics professionals possessing highly technical skills, an understanding of business processes, natural curiosity, and a drive to excellence in pursuit of business optimization and impact.
    4. Drive integration of team culture (who we are), connection between analysis and strategic focus (how we win), and consistency in deliverables (what good looks like). Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
    5. Partner with Senior and Executive business leaders across supported business unit, as well as other Executive Lines of Business, to align business strategy with analytics capabilities, delivering insights that drive incremental business value.
    6. Develop short and long-term objectives for translating business strategies and emerging external trends to organizational and operational tactics and priorities to execute against Truist line of business objectives.
    7. Stay abreast of latest technology, analytical concepts, and trends in the market and identify implementation or consultative opportunities for advancements into new and/or existing processes.
    8. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.
    9. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery, leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
    10. Represent assigned business group in various forums, work streams, and Executive reviews. Cultivate relationships with leadership of the Enterprise Data Office and federated analytics teams to drive efficient decision science delivery against shared objectives.
    11. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

    QUALIFICATIONS
    Required Qualifications:

    The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


    1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
    2. Bachelor's degree and 15 years of progressive experience, or equivalent education and related training in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering
    3. Broad and in-depth expertise of data and analytics as a professional discipline, 10 years of analytics leadership experience with a diverse project focus and demonstrated results
    4. Ability to lead and manage performance of large scale teams against financial and operational objectives
    5. Must be a people leader, able to manage Decision Science Managers and individual contributors in a cross-functional and collaborative team environment including teammate coaching, mentoring and career development
    6. Robust understanding of key business processes and strategies
    7. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, translating business strategies and emerging external trends to organizational and operational tactics and connecting insights with execution and business impact
    8. Ability to influence and negotiate with other Senior Leaders in light of their unique perspectives and competing priorities
    9. Innovative and strategic thinker with a strong bias to action and focus on quantifiable business impact; Ability to lead significant cross-functional initiatives including deployment of advanced analytics (AI/ML) capabilities
    10. Experience in managing multiple teams/projects with tight deadlines in a collaborative environment; Ability to pivot and align resources to drive maximum impact
    11. Understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), working knowledge of analytical toolsets (Adobe Marketing Stack) and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
    12. Knowledge of the external environment including Truist's competition, regulatory requirements and trend, and the strategies employed to continually meet the demands of internal and external stakeholders

    Preferred Qualifications:
    1. Master's degree and 15+ years of analytics leadership experience
    2. Previous experience in the banking industry

    General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

    Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

    EEO is the Law E-Verify IER Right to Work


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    About Truist

    Sourced by ZipRecruiter

    Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    Charlotte, NC, US

    Year founded

    2019