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Postdoc Data Science Remote Jobs in Milwaukee, WI

AI Data Science Evaluator

Milwaukee, WI Β· Remote

$245 - $280/hr

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

Remote (Worldwide) Schedule: 10-15+ hours a week, Fully Flexible (Can accommodate working after hours/weekends) micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific ...

Remote (Worldwide) Schedule: 10-15+ hours a week, Fully Flexible (Can accommodate working after hours/weekends) micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

Sr. Data Engineer

Pewaukee, WI Β· On-site +1

$112K - $134K/yr

However, this role is not available for 100% remote work and would require relocation to either ... What You'll Bring Required Qualifications Bachelor's degree in Computer Science, Information ...

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Postdoc Data Science Remote information

See Milwaukee, WI salary details

$56.7K

$67K

$127.1K

How much do postdoc data science remote jobs pay per year?

As of Sep 15, 2026, the average yearly pay for postdoc data science remote in Milwaukee, WI is $67,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $58,600.00 per year, depending on experience, location, and employer.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Milwaukee, WI?

For Postdoc Data Science Remote jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Postdoc Data Science Remote jobs in Milwaukee, WI look for?

The top searched job categories for Postdoc Data Science Remote jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Postdoc Data Science Remote jobs?

Cities near Milwaukee, WI with the most Postdoc Data Science Remote job openings:

AI Data Science Evaluator

Milwaukee, WI β€’ Remote

micro1 AI
Software DevelopmentΒ β€’Β 11 - 50 employees

$245 - $280/hr

Part-time

Posted 19 days ago


Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts