About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Venture Capital.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This role blends applied data science with expressive data visualization to help business leaders and investment teams make faster, evidence-based decisions. Typical responsibilities include:

• Design, develop, and maintain interactive dashboards and visualizations that surface insights for stakeholders (investors, portfolio teams, operations).
• Translate ambiguous business questions into analytical approaches and implement solutions using clean, reproducible code.
• Build and validate statistical and machine learning models to support deal evaluation, portfolio monitoring, and performance tracking.
• Extract, transform, and load data from multiple sources; ensure data quality and lineage for analytics use.
• Collaborate with product, investment, and operations teams to scope analytics projects and present findings clearly to non-technical audiences.
• Produce documentation and reusable analytics components to accelerate team delivery.

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Who You Are / Required Qualifications

We’re looking for a pragmatic data scientist with a proven eye for communicating data visually and the technical skills to deliver production-ready analytics.

• 3+ years of applied data science or analytics experience, including building dashboards and reports for business stakeholders.
• Strong programming skills in Python or R for data manipulation, modeling, and automation.
• Hands-on experience with visualization tools or libraries (e.g., Tableau, Power BI, D3, Plotly, or Matplotlib/Seaborn).
• Solid SQL skills for querying production databases and designing efficient data pipelines.
• Demonstrated ability to explain model results and visualization-driven insights to non-technical audiences.
• Strong attention to data quality, documentation, and reproducible workflows.

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Preferred / Nice-to-Have

These are not required but will set you apart:

• Experience in venture capital, private equity, startup analytics, or early-stage investing data.
• Production experience with cloud data platforms (e.g., AWS, GCP, Snowflake, BigQuery) and ETL tooling.
• Familiarity with A/B testing, causal inference, or time-series forecasting methods.
• Prior work building visualization libraries/components or embedding analytics into web apps.

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Working Style & Location

• This position is based in Washington, DC (onsite or hybrid arrangements may be considered depending on the team's needs).
• Candidates must be authorized to work in the United States.
• We seek collaborative problem-solvers who balance speed with rigor and prioritize stakeholder impact.

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Why You’ll Like Working with Our Client

• Opportunity to influence high-impact investment and portfolio decisions through data.
• Small, cross-functional teams where your work is visible and outcomes matter.
• A pragmatic data culture that values clear communication and actionable analysis.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.