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Remote Private Equity Data Science Jobs in Decatur, GA

Data Analyst, Senior

Atlanta, GA · On-site +1

$64K - $87K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Data Science, Geosciences, Geography, Urban or Regional Planning ...

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

... data science workflow to drive business results preferred * Consulting experience strongly preferred * Willingness to travel We are actively seeking candidates for full-time, remote work within the ...

Data Architect 2

Atlanta, GA · Remote

$61.25 - $78.75/hr

Our core functions are data Quality, Governance, Enablement, Analytics and Data Science. Location This is a remote opportunity. Responsibilities Proactively drive data maturity within Kiewit by ...

Proven ability to interact confidently with senior executives, including private equity investors ... If you would like more information about how your data is processed, please contact us. apply for ...

Software Engineer Kaleris is a private equity-backed software firm focused on supply chain ... Bachelor's degree from an accredited university in computer science or related * Excellent verbal ...

Audit Manager

Atlanta, GA · On-site +1

$110K - $135K/yr

Audit Manager Locked In Talent Atlanta, Georgia, United States (Remote) Save Apply About the ... Industry experience in Healthcare and/or Private Equity is a plus Requirements: * Bachelor's degree ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

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Remote Private Equity Data Science information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

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

As of Jun 9, 2026, the average yearly pay for remote private equity data science in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

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, and why are they important?

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 popular job titles related to Remote Private Equity Data Science jobs in Decatur, GA? For Remote Private Equity Data Science jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Private Equity Data Science jobs in Decatur, GA look for? The top searched job categories for Remote Private Equity Data Science jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Private Equity Data Science jobs? Cities near Decatur, GA with the most Remote Private Equity Data Science job openings:

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

Full-time

Posted 27 days ago


Job description

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision science, data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, machine learning, and statistical modelling.
What you will do
As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Decision Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle - from problem definition to model automation and deployment. As a Principal, you will be expected to provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. A Principal Decision Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.
Who we are looking for
We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end solution pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.
  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
  • Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
  • Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
  • Strong analytical and problem-solving skills
  • 5+ years of practical data science experience
  • 5+ years of consulting experience (preferred)
  • Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
  • Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
  • Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
  • Oil and gas industry experience is a plus

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.