Position Summary: Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role blends technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.

Responsibilities:

• Conduct thorough data analytics for investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
• Strategically partner with portfolio company executives to drive data-led initiatives for growth and efficiency, from concept to completion.
• Develop and implement data-centric strategies and tools to enhance investment processes and support deal teams.
• Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines.
• Create insightful tools and data products to refine the investment process.
• Oversee value creation projects in portfolio companies, from strategy to execution.
• Engage in sophisticated data analysis, including feature engineering and analytics.
• Cleanse, integrate, and interrogate diverse datasets to uncover unique insights.
• Conduct rigorous hypothesis testing, statistical analysis, and modeling.

What You’ll Do:

• Navigate and analyze complex datasets to extract key insights guiding investment strategies.
• Collaborate with internal teams and external executives on data-driven growth initiatives.
• Manage third-party resources, integrating external expertise into our internal framework.
• Spearhead the creation of innovative data tools and products to scale our deal support capabilities.

Qualifications:

Education & Certificates:

• College degree and above in a STEM field.

Professional Experience:

• Minimum of 3-6 years of direct Data Science experience required.
• Experience in commercial consulting, investment banking, or client-oriented roles is advantageous.

Competencies & Attributes:

• Exceptional problem-solving abilities.
• Ability to translate data into actionable business strategies.
• Strong verbal and written communication skills, with proficiency in public presentation and storytelling.
• 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.
• Skills in data visualization and statistical modeling.
• Familiarity with AWS cloud computing and Git version control systems.

Benefits/Compensation:

• The anticipated base salary range for this role is $140,000 to $160,000, specific to Washington, D.C.
• Comprehensive benefits package including retirement benefits, health insurance, life insurance, disability, paid time off, paid holidays, family planning benefits, and wellness programs.
• Eligibility for an annual discretionary incentive program based on individual and organizational performance.

Due to the high volume of candidates, only those selected for interviews will be contacted.

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