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Remote Private Equity Data Science Jobs in Decatur, GA

CVS Health

Staff Data Engineer

Alpharetta, GA · On-site +1

$126K - $236K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics ... This position also includes an award target in the company's equity award program. In addition to ...

Axiom

Data Architect (Remote)

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... Serve as the primary data architecture liaison to the Product, Operations, and Data Science ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Atlanta, GA · Remote

$80 - $105/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 ...

Wrench Group

Modern Workplace Engineer (Remote)

Roswell, GA · On-site +1

$85K - $90K/yr

Overview Wrench Group is a private equity-backed company with 7,000+ end-users across 14 states. We ... Remote! Responsibilities What Will I Do? * Administer Microsoft Entra ID - Conditional Access, PIM ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

Wrench Group

Modern Workplace Engineer (Remote)

Roswell, GA · Remote

$85K - $90K/yr

Overview Wrench Group is a private equity-backed company with 7,000+ end-users across 14 states. We ... Remote! Responsibilities What Will I Do? * Administer Microsoft Entra ID - Conditional Access, PIM ...

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All JobsPrivate Equity Data Science JobsRemote Private Equity Data Science JobsRemote Private Equity Data Science Jobs in Decatur, GA

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 Jul 11, 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:
Remote Private Equity Data Science jobs near you

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Atlanta, GA • On-site, Remote

$152K - $158K/yr

Full-time

Re-posted 7 days ago

Job description

Senior Product Manager, Life Sciences Data Products (Applied AI)

Location: U.S. (Remote-first) with optional hub-based hybrid
Employment: Full-time
Level: Senior IC (high ownership)
Start: ASAP / Flexible

Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use.

The Role

As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows.

This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities.

What You’ll Own

  • Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes.

  • Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services.

  • Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness.

  • AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling).

  • Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes.

  • Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects.

  • Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices.

What We’re Looking For

Required

  • 5+ years building data products or platforms for life sciences and/or healthcare customers.

  • Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership.

  • Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code).

  • Track record partnering with engineering and data teams to deliver complex, high-impact product work.

  • Excellent communication—credible with technical teams and clear with non-technical stakeholders.

  • Comfort operating in a fast-moving environment with evolving inputs and limited process.

Nice to have

  • 0→1 product experience or taking early products to scale in a regulated domain.

  • UX/product design sensibility with strong intuition for end-user workflows.

  • Prior experience in analytics, data science, or experimentation.

  • Familiarity with privacy, governance, and quality frameworks for sensitive datasets.

Why This Role

  • Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI

  • Meaningful influence over what becomes productized vs. service-heavy

  • Close collaboration with technical leadership and high visibility across the company

Compensation

Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)