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Remote Private Equity Data Science Jobs in Minnesota

micro1 AI

General Counsel - Remote

Saint Paul, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

Corporate Counsel - Remote

Saint Paul, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

Corporate Counsel - Remote

Rochester, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

Corporate Counsel - Remote

Minneapolis, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

Commercial Counsel - Remote

Saint Paul, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

General Counsel - Remote

Rochester, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

Commercial Counsel - Remote

Minneapolis, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

AI Legal Counsel - Remote

Minneapolis, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

AI Legal Counsel - Remote

Rochester, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

micro1 AI

AI Legal Counsel - Remote

Saint Paul, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience at a corporate law firm in either M&A or fund formation for private equity firms. Why ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

... Science, or related disciplines * Strong understanding of Medicaid/DSNP products or the healthcare ... equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements)

micro1 AI

M&A Attorney - AI Trainer - Remote

Rochester, MN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience working with private equity firms. Why Join: * This is an opportunity to work at the ...

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All JobsPrivate Equity Data Science JobsRemote Private Equity Data Science JobsRemote Private Equity Data Science Jobs in Minnesota

Remote Private Equity Data Science information

What is remote private equity data science?

Remote Private Equity Data Science involves applying data analysis, machine learning, and statistical techniques to support private equity firms in investment decision-making, portfolio management, and risk assessment—all while working remotely. Professionals in this field analyze large datasets, build predictive models, and generate insights to help firms identify valuable investment opportunities and improve operational efficiency. Working remotely allows data scientists to collaborate with global teams and access diverse data sources using cloud-based tools. This role typically requires strong quantitative skills, knowledge of finance, and experience with programming languages such as Python or R.

What are the key skills and qualifications needed to thrive as a remote private equity data scientist?

To thrive as a Remote Private Equity Data Scientist, you need strong quantitative analysis skills, proficiency in statistics, and experience with financial modeling, typically supported by a degree in data science, finance, or a related field. Expertise in programming languages like Python or R, familiarity with machine learning libraries, and experience with data visualization tools and databases are commonly required, as are certifications in data science or finance. Exceptional problem-solving abilities, communication skills, and the capacity to work independently and collaboratively in remote settings set top professionals apart. These skills ensure accurate analysis of investment opportunities, clear insights for decision-makers, and effective teamwork across distributed environments.

What are some of the unique challenges faced by data scientists working remotely in private equity, and how can they be addressed?

Remote data scientists in private equity often encounter challenges such as accessing sensitive financial data securely, collaborating across time zones, and communicating complex analyses to investment teams. To address these, firms typically implement robust cybersecurity protocols, schedule regular virtual meetings to maintain alignment, and use collaborative tools like shared dashboards or project management platforms. Proactively setting clear expectations and maintaining open lines of communication with both technical and non-technical team members are key to success in this fast-paced, data-driven environment.

What is the difference between Remote Private Equity Data Science vs Remote Investment Analyst?

AspectRemote Private Equity Data ScienceRemote Investment Analyst
Required CredentialsDegree in Data Science, Finance, or related fields; proficiency in data analysis toolsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentCollaborates with data teams, often in tech or finance firms, using data analysis and modelingResearches market trends, evaluates investments, and prepares reports, often in finance firms
Employer & Industry UsagePrivate equity firms, investment funds, consulting firmsAsset management firms, investment banks, hedge funds

Remote Private Equity Data Science focuses on analyzing large datasets to inform investment decisions using advanced analytics, while Remote Investment Analysts evaluate market data and financial reports to recommend investments. Both roles require strong analytical skills but differ in technical focus and daily tasks.

What are the most commonly searched types of Private Equity Data Science jobs in Minnesota?

The most popular types of Private Equity Data Science jobs in Minnesota are:

What are popular job titles related to Remote Private Equity Data Science jobs in Minnesota?

For Remote Private Equity Data Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Private Equity Data Science jobs in Minnesota look for?

The top searched job categories for Remote Private Equity Data Science jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Private Equity Data Science jobs?

Cities in Minnesota with the most Remote Private Equity Data Science job openings:

Remote Private Equity Data Science jobs near you

General Counsel - Remote

micro1 AI

Saint Paul, MN • Remote

$90 - $130/hr

Part-time

Re-posted 16 days ago

Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

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