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Remote Private Equity Data Science Jobs in Kentucky

Newfi

Account Executive - Louisville

Louisville, KY · Remote

Remote - Louisville Description About Newfi Lending Founded in 2014 and headquartered in Emeryville ... private equity firms in the world. As one of the leading Non-QM lenders in the industry, we are ...

C-Plan.IT

VP Engineering and R&D - AI Startup

Louisville, KY · Remote

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

C-Plan.IT

VP Engineering and R&D - AI Startup

Louisville, KY · On-site +1

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

RMS Energy

Technical Data Coordinator

Louisville, KY · Remote

Able to work independently in a remote environment * Willing to travel 25%+ to sites or industry ... science, or a related field * Exposure to data tools like SQL, SAP, or AutoCAD * Experience ...

Harrow, Inc.

Private equity experience preferred. * HCPCS Level II (J-code) and Transitional Pass-Through ... Remote Travel * Up to 80%

Baptist Health

AI Manager

Louisville, KY · Remote

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Baptist Health

AI Manager

Lexington, KY · Remote

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Ceritypartners

Senior Tax Manager

Louisville, KY · On-site +1

... and real estate private equity sponsors with tax, and multi-generational trust and estate ... Remote flexibility without sacrificing collaboration or career growth * Longevity matters here: Our ...

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

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 Kentucky?

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

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

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

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

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

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

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

Remote Private Equity Data Science jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Louisville, KY • Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. 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. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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