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Temporary Machine Learning Postdoc Jobs in Chicago, IL

Research Software Engineer

Chicago, IL ยท On-site

$110 - $135/hr

... applications, machine learning, and artificial intelligence. This position is eligible for a ... Manage multiple projects simultaneously, supporting faculty, postdoctoral researchers and students ...

Cnc Machinist

Libertyville, IL ยท On-site

$28 - $36/hr

Perform routine machine preventative maintenance. * Collaborate with team members to ensure ... Enjoy a supportive work environment with resources like Employee Assistance Programs and learning ...

Senior Data Analyst

Chicago, IL ยท On-site

$76K - $100K/yr

Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Senior Data Analyst

Chicago, IL ยท On-site

$88K - $111K/yr

Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Showing results 41-60

Temporary Machine Learning Postdoc information

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 skills and qualifications are needed to thrive as a temporary machine learning postdoc?

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?

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 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 Chicago, IL?

The most popular types of Machine Learning Postdoc jobs in Chicago, IL are:

What are popular job titles related to Temporary Machine Learning Postdoc jobs in Chicago, IL?

For Temporary Machine Learning Postdoc jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Postdoc jobs in Chicago, IL look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in Chicago, IL are:

$88K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

Job Description

As a Senior Data Scientist, you'll solve complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-by accessing, integrating, manipulating, mining and modeling a wide array of data sources.ย 

Job Responsibilities:

ย 

  • Translating and reframing marketing and business questions into analytical plans.
  • Using distributed computing systems to ingest, access and integrate disparate big data sources.
  • Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.
  • Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
  • Building and testing scalable data pipelines or models for real-time applications.
  • Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
  • Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
  • Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

We're looking for rigorous analytic training and 3+ years professional experience in a data science or analytics role, which typically includes:

ย 

  • A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
  • Hands-on experience mining data for decision-focused insights.
  • Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
  • Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS.ย  Familiarity with Linux and/or Spark preferred.
  • Demonstrated interest in marketing analytical applications.
  • Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLE, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Got the sparkle? Apply if you believe your unique skills are a fit.

Additional Information

Digitas is an equal opportunity employer.

#LI-PK1

Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

ย Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/15/2026.Employment Type: FULL_TIME