Viking Global Investors · 7 hours ago
Senior Data Scientist, Private Investments
New York, NY
Full-time
Hybrid
Mid, Senior Level
$210K/yr - $240K/yr
2+ years expViking Global Investors is a global investment firm that manages over $55 billion of capital across public and private investments. They are seeking a Senior Data Scientist to identify investable opportunities for private equity and structured credit using alternative data sources, develop custom analytics, and integrate AI in their investment processes.
FinanceVenture CapitalFinancial Services
Responsibilities
Identify investable opportunities for private equity and structured credit using alternative data sources
Develop custom analytics to facilitate the identification of potential acquisition targets through the use of alternative datasets
Use large datasets that contain software reviews to identify mid-market software companies that are growing fast and gaining market shares within their category
Use sentiment analysis to assess customers’ perception of their software products
Leverage vast repository of alternative data to triangulate private investment insights across multiple datasets
Evaluate business quality and growth potential of investable opportunities for private equity and structured credit using alternative data sources and company data
Develop repeatable analyses aimed at evaluating current and potential future value of private companies
Leverage a combination of alternative datasets and customer data provided by the investment targets
Quantify the overall size of the market segment in which the target operates and their share of the total
Use Tableau to visualize customers’ purchasing behavior and easily distinguish between core customers who make repeated purchases and the occasional customers who purchase infrequently
Identify and evaluate new data sources
Read industry publications (e.g. specialized reports published by Goldman Sachs and other investment banks) to identify new datasets that could potentially improve ability to analyze private investments
Engage with the providers of such datasets to understand how the data is collected and if it has any biases (e.g. whether there is a higher proportion of high-earners in the data than in the US population)
Evaluate whether the forecasts based on newly identified datasets are more accurate than those based on more established datasets that were used the previous month
Streamline the data life cycle, operating model, and process for private investments
Evaluate every few months whether the datasets that were used in the past continue to be as useful to forecast various economic and financial trends
Integrate Artificial Intelligence in all phases of the private deal lifecycle
Develop prototypes to automate and scale the collection of data on private companies from public websites, and to streamline their analysis
Leverage AI to scan vast amounts of web pages and extract ready-to-analyze data points that would not otherwise be readily available for purchase from Alternative Data vendors
Collaborate with investment staff to integrate these proprietary AI tools in their investment process
Develop automated workflows powered by Large Language Models and other AI technologies to identify all the companies that operate in a specific segment, visit their websites to extract key information about their product, their store footprint, and other aspects of their operations, and consolidate the information in a searchable database that can be easily analyzed
Create centralized and automated analyses and processes
Use coding languages such as Python and SQL to automate certain calculations
Review calculations every few months to ensure that the quality of the forecasts continues to be high so that our Investment Team can continue to rely on them to make investment decisions
Qualification
Required
Requires a Master's degree or foreign equivalent in Data Science, Finance, Operations Research, Statistics or related quantitative field
Requires at least 2 years of professional experience in a data science role at a Private Equity Fund working on datasets relevant for private companies
Must have 2 years of experience: applying statistics, machine learning and data science best practices to financial markets
building automated workflows powered by Artificial Intelligence to streamline investment research in private markets
embedding data science techniques and best practices in the private investment process
utilizing Python and statistical libraries, as well as SQL, BI software (e.g., Tableau), and cloud technologies applied to the private investment process
Company
Viking Global Investors
Viking Global Investors is an investment firm that uses fundamental analysis to select investments across industries and geographies.
201-500 employees
H1B Sponsorship
Viking Global Investors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
2023 (5)
2022 (7)
2021 (3)
2020 (3)
Funding
Current Stage
Growth StageLeadership Team
Ellis Whipple
Chief Financial Officer
Rose Shabet
Chief Operating Officer
Recent News
vcnewsdaily.com
2026-01-14
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2026-01-13
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