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Remote Private Equity Data Science Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

McKesson

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis ... This is determined by several factors, including performance, experience and skills, equity ...

McKesson

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis ... This is determined by several factors, including performance, experience and skills, equity ...

CoverMyMeds

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis ... This is determined by several factors, including performance, experience and skills, equity ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site +1

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site +1

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site +1

Master's Degree in computer science, statistics, economics or related fields 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

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Showing results 21-40

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

Remote Private Equity Data Science information

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 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 the most commonly searched types of Private Equity Data Science jobs in Ohio?

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

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

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

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

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

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

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

Remote Private Equity Data Science jobs near you

Data Strategist

A-TEK Inc.

Continental, OH • Remote

$115K - $125K/yr

Full-time

Re-posted 14 days ago

Job description

A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Develop enterprise data governance strategies and implementation roadmaps.
  • Establish data quality, metadata, master data, and data stewardship frameworks.
  • Define enterprise reporting and analytics strategies aligned with organizational objectives.
  • Collaborate with stakeholders to identify strategic data requirements.
  • Develop policies for data management, security, accessibility, and lifecycle management.
  • Support implementation of enterprise data governance tools and best practices.
  • Analyze current data architecture and recommend modernization initiatives.
  • Develop executive dashboards and performance measurement strategies.
  • Facilitate data governance working groups and stakeholder workshops.
  • Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities.
  • Monitor data quality metrics and recommend corrective actions.
  • Support strategic planning and decision-making through data-driven insights.

Minimum Qualifications

  • Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.
  • Minimum ten (10) years of experience in enterprise data management or analytics.
  • Demonstrated experience implementing data governance frameworks.
  • Experience developing enterprise data strategies and roadmaps.
  • Knowledge of data architecture, metadata management, and data quality principles.
  • Strong analytical, facilitation, and communication skills.
  • Ability to obtain and maintain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science, Analytics, Information Management, or related discipline.
  • Experience supporting Federal healthcare organizations.
  • Familiarity with DAMA-DMBOK or DCAM frameworks.

Compensation

Expected Salary Range: $115,000-$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

Apply