Investment Data Scientist (NYC)

About the Role

Key Responsibilities

• Develop scalable diligence analyses for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
• Own diligence data domain and development of new scalable analyses for diligence insights.
• Partner with AI product team to further develop AI diligence platform giving business insight and feedback on usability.
• Own execution of company diligences and delivery end to end using AI platform and tools.
• Mentor and be a technical manager for individual contributor Investment Data Scientists.
• Lead in developing and implementing data-centric strategies and tools, enhancing investment processes and supporting deal teams.
• Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines.
• Engage in sophisticated data analysis, including feature engineering and analytics.
• Cleanse, integrate, and interrogate diverse datasets to unearth unique insights.
• Conduct rigorous hypothesis testing, statistical analysis, and modeling.
• Develop and own short-term roadmap for diligence analysis improvements and new analyses.
• Incorporate investment team feedback into the roadmap to improve diligence outcomes.
• Work with upstream data and insight teams to add new features and ensure data cleansing and availability.
• Navigate and analyze complex datasets, extracting key insights to guide investment strategies.
• Collaborate with internal teams and external executives on data-driven growth initiatives.
• Manage third-party resources, integrating external expertise into internal frameworks.
• Spearhead the creation of innovative data tools and products to scale deal support capabilities.

Requirements

• A bachelor's degree or higher in a STEM field, required.
• At least 6 years of experience in data engineering or a related discipline.
• Experience in commercial consulting, investment banking, or client-oriented roles is advantageous.
• Experience in the financial services or private equity industry is preferred.
• Exceptional problem-solving abilities.
• Aptitude for translating data into actionable business strategies.
• Strong verbal and written communication skills, with public presentation and storytelling abilities.
• Solid understanding of investment, financial valuation, and commercial growth principles.
• Advanced Python and SQL skills for complex data analysis.
• Proficiency in machine learning techniques and handling large datasets.
• Skilled in data visualization and statistical modeling.
• Familiarity with AWS cloud computing and Git version control systems.

Nice to Have

• Concentration in Computer Science, Math, Physics or other engineering related fields.

Benefits & Perks

• Base salary range of $150,000 to $175,000.
• Comprehensive benefits including retirement benefits, health insurance, life insurance, disability, paid time off, paid holidays, family planning benefits, and wellness programs.
• Participation in an annual discretionary incentive program based on performance.