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Remote Bsc Mathematical Statistics Jobs in Chicago Ridge, IL

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

... remote is an option. Minimum Job Requirements: * Bachelor's degree in a STEM discipline; Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Business, or a related ...

Business Analyst

Chicago, IL · Remote

$65 - $75/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for a Business Analyst who will be responsible ... IT, statistics, computer science, mathematics, information management, or a related field or ...

Showing results 41-60

Remote Bsc Mathematical Statistics information

See Chicago Ridge, IL salary details

$58.7K

$69.4K

$131.6K

How much do remote bsc mathematical statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote bsc mathematical statistics in Chicago Ridge, IL is $69,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $60,700.00 per year, depending on experience, location, and employer.

What is a remote BSc Mathematical Statistics job?

Remote BSc Mathematical Statistics jobs are positions that allow graduates with a Bachelor of Science degree in Mathematical Statistics to work from locations outside of a traditional office setting, often from home. These roles typically involve analyzing and interpreting data, creating statistical models, and supporting decision-making processes for organizations in industries such as finance, healthcare, technology, and research. Remote positions may include titles like data analyst, statistician, or research associate, and they often require strong mathematical, analytical, and computer skills. With advancements in technology, many employers now offer flexible, remote opportunities for qualified candidates in this field.

What are the key skills and qualifications needed to thrive as a remote BSc Mathematical Statistics professional?

To thrive as a Remote BSc Mathematical Statistics professional, you need a solid background in statistical theory, data analysis, and proficiency in mathematics, typically achieved through a bachelor's degree in mathematical statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS, and experience with data visualization tools are commonly required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting data and presenting findings to diverse audiences. These skills and qualities are vital for delivering accurate statistical insights and supporting data-driven decision-making in a remote work environment.

What are some common challenges faced by remote BSc Mathematical Statistics professionals and how can they be addressed?

Remote BSc Mathematical Statistics professionals often encounter challenges such as limited face-to-face collaboration, maintaining motivation, and effective communication across different time zones. To address these, it’s important to proactively engage with team members using collaboration tools, schedule regular virtual meetings, and establish a structured daily routine. Additionally, setting clear goals and utilizing project management platforms can help maintain productivity and ensure alignment with team objectives. Building a supportive network through online forums or professional associations can also enhance learning and growth opportunities.

What is the difference between Remote Bsc Mathematical Statistics vs Remote Data Analyst?

AspectRemote Bsc Mathematical StatisticsRemote Data Analyst
Required CredentialsBachelor's in Mathematical Statistics or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentRemote, often research-focused or modeling tasksRemote, data interpretation and reporting
Industry UsageResearch institutions, analytics firms, financeBusiness, marketing, healthcare, finance
Common Search/ComparisonYesNo

Remote Bsc Mathematical Statistics and Remote Data Analyst roles share similar educational backgrounds and remote work settings. However, Mathematical Statistics positions often focus on theoretical modeling and research, while Data Analysts typically handle data interpretation and reporting for business insights. Both roles are in high demand across various industries, but they serve different functions within data-driven organizations.

What cities near Chicago Ridge, IL are hiring for Remote Bsc Mathematical Statistics jobs?

Cities near Chicago Ridge, IL with the most Remote Bsc Mathematical Statistics job openings:

AI Training Specialist - Physics

micro1 AI

Joliet, IL • On-site, Remote

$80 - $150/hr

Part-time

Posted 19 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: 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 this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.