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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 modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, neural networks, and natural language processing) in a variety of environments ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, neural networks, and natural language processing) in a variety of environments ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, neural networks, and natural language processing) in a variety of environments ...

Collaborate with teams to leverage AI and machine learning to improve access risk detection ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Temp to Engage Daily Responsibilities: - Provide mailroom support (approx. 80% of duties) - Receive ... machines and basic hand tools - Flexible and open to learning new areas Working Conditions ...

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 ...

MasterCam Programmer

Savannah, GA · On-site

$28 - $35/hr

Job Title: Machine Programmer This role focuses on programming and operating CNC routers using ... Ability to adapt to a fast-paced, production-oriented environment after a short learning period.

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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 June 2026, with employment types broken down into 58% Full Time, 20% Part Time, and 22% Temporary. Highlights an 95% In-person, and 5% Remote job distribution.
    Card Fraud Data Scientist II

    Card Fraud Data Scientist II

    Truist

    Atlanta, GA

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 15 days ago


    Truist rating

    8.2

    Company rating: 8.2 out of 10

    Based on 110 frontline employees who took The Breakroom Quiz

    37th 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:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
    For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

    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. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
    2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
    3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
    4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
    5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
    6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
    7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
    8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.


    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. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
    2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
    3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
    4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
    5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
    6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
    7. Experience in managing multiple projects with tight deadlines in a collaborative environment

    Preferred Qualifications:
    1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
    2. Four years of relevant work experience if candidate lacks graduate degree
    3. Previous experience in the banking or fin-tech industry

    Additional Job Description:

    • Experience analyzing fraud trends using large datasets, applying statistical techniques, SQL, and/or datascience tools to identify anomalies, build rules, or evaluate model performance.

    • Working experience with real-time fraud decisioning platforms, such as Falcon, Actimize, SAS Fraud Management, or similar machinelearning-driven systems.

    • Hands-on expertise with fraud detection tools and data signals, including device intelligence, behavioral biometrics, consortium data, thirdparty risk scoring, and velocity or linkanalysis tools.

    • Proven ability to translate fraud risk requirements into actionable rules, model features, detection logic, or platform configurations.

    • Strong understanding of payment ecosystems, including card network rules, issuer/acquirer authorization flows, chargeback lifecycle, and dispute management.

    • Background in fraud strategy design, including rule optimization, model monitoring, and roadmap planning.

    • Experience working with crossfunctional teams (Product, Engineering, Compliance, Operations) to implement fraudrisk initiatives.

    OTHER JOB REQUIREMENTS / WORKING CONDITIONS

    Sitting
    Constantly (More than 50% of the time)
    Visual / Audio / Speaking
    Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
    Manual Dexterity / Keyboarding
    Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
    Availability
    Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
    Travel
    Minimal and up to 10%

    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