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Remote Private Equity Data Science Jobs in Raleigh, NC

... Data Science, Business, ora relatedfield; OR equivalent relevant work experience. Location & Work Availability: This position isHybrid (4days in office,1day remote),based at our corporate ...

... Data Science, Business, ora relatedfield; OR equivalent relevant work experience. Location & Work Availability: This position isHybrid (4days in office,1day remote),based at our corporate ...

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

... Fisher Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for ...

Middle Office Sr. Associate

Raleigh, NC · On-site +1

$16.50 - $22/hr

... private equity, private credit, endowments, hedge funds and more - to deliver seamless, tech ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

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Remote Private Equity Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do remote private equity data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote private equity data science in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Private Equity Data Science jobs in Raleigh, NC?

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

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

The top searched job categories for Remote Private Equity Data Science jobs in Raleigh, NC are:

Data Audit Analyst

Advance Auto Parts

Raleigh, NC • On-site, Remote

Full-time

Posted 6 days ago


Job description

Job Description

Job Summary:The Data AuditAnalyst is a key technical contributor responsible for the rigorous execution of data quality standards across SKU and vendordatadomains.In thisroleyou will perform high-volume audits of product attributes, digital assets, and non-application catalog data to ensure accuracy and consistency. This role is critical in ensuring that allitemdata isvalidatedbefore downstream syndication, directlyimpactingthe customer experience across retail, professional, and e-commerce channels.

Key Responsibilities:

  • Data Syndication Validation:Execute comprehensive audit protocols to ensure SKU and category data syndicates accurately toalldownstream channels.

  • Digital Asset Auditing:Conduct detailed inspections of digital assets, verifying that images, videos, and technical documents are correctly linked to theappropriate SKUsand meet enterprise quality standards.

  • Non-Application Catalog Management:Maintainand audit non-application catalog data, ensuring that product hierarchies and attributes align with merchandising strategies and organizational standards.

  • Defect Identification:Proactivelyidentifysystemic data defects and inconsistencies during audit cycles; document root causes and collaborate withappropriate technologyteams toimplement permanent fixes.

  • Vendor Data Compliance:Audit incoming vendor-provided data and assets to ensure strict compliance with internal requirementsbefore they enterthe production ecosystem.

  • Audit Reporting:Develop andmaintaindata quality scorecards and audit reports to provide visibility into the health of the enterpriseitemdata domain.

Qualifications:

  • Demonstrated experience in high-volume data auditing, preferably within a complex retail or e-commerce environment.

  • Strong technical understanding of how master data flows through PIM (Product Information Management) and DAM (Digital Asset Management) systems.

  • Exceptional attention to detail with the ability toidentifysubtle data patterns and anomalies.

  • Proficiencyin managing and auditing complex product hierarchies and merchandising categorizations.

Certifications, Experience, and Education:

  • Certifications:None

  • Experience:3+ years in Data Quality, Data Auditing, MDM, or Merchandising Operations; experiencein a senior or lead technical role is preferred.

  • Education:Bachelor's degree in Information Management, Data Science, Business, ora relatedfield; OR equivalent relevant work experience.

Location & Work Availability:

This position isHybrid (4days in office,1day remote),based at our corporate headquarters inRaleigh, North Carolina.

Benefits Summary:

We believe in supporting our Team Members and those they love through comprehensive health & wellness benefits. Learn more here:https://jobs.advanceautoparts.com/us/en/benefits

Company Overview:

Advance Auto Parts, Inc.isa leading automotive aftermarket parts provider that serves both professionalinstallerand do-it-yourself customers. As of January 3, 2026, Advanceoperated4,305 stores primarily within the United States, withadditionallocations in Canada, PuertoRicoand the U.S. Virgin Islands. The Company also served 809 independently owned Carquest branded stores across these locations in addition to Mexico and various Caribbean islands.Additionalinformation about Advance, including employment opportunities, customer services, and online shopping for parts, accessories and other offerings can be found atwww.AdvanceAutoParts.com.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state, or local protected class.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.

California Residents click below for Privacy Notice:

https://jobs.advanceautoparts.com/us/en/disclosures

Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US