Data Scientist

What You’ll Do Support deal execution by logging and completing analytical requests from business partners for active deals and pitches.Contribute to AI initiatives: develop and evaluate AI agents and build MCP-connected workflows that integrate internal and third‑party data sources to automate and enhance analytics and deal execution.Produce research and analytics projects using third‑party CRE and macro data partnerships (e.g., Placer.ai, Oxford Economics) in collaboration with Data and Analytics teams.Create, curate, and load unique datasets into a Snowflake data warehouse; ensure data quality and maintain pipelines.Build and maintain internal business intelligence dashboards and visualizations (Sigma, Power BI, custom tools) to support stakeholders.Apply record linkage and entity-resolution techniques to merge proprietary deal data with external sources for richer analytics.Train and support business users on existing and emerging BI tools and analytics workflows. What We’re Looking For Bachelor’s degree (or equivalent) in Data Science, Computer Science, Statistics, Economics, Finance, or related field.Strong Python programming skills for data preparation, modeling, and automation.Proficiency with SQL and experience working with Snowflake or other OLAP/data‑warehouse platforms.Hands‑on experience with business intelligence tools (Sigma, Power BI, or similar).Solid Excel skills (power user level).Strong analytical mindset with familiarity or interest in financial analytics and capital markets workflows.Excellent communication skills and ability to translate technical analysis into actionable business insights. Preferred / Nice-to-Have Prior exposure to CRE (commercial real estate) data providers and industry data sets.Experience with Azure cloud services or similar cloud platforms.Background as a financial or capital markets analyst.Familiarity with integrating third‑party APIs and automating data ingestion.Experience with record linkage/entity resolution techniques and data deduplication. Location & Logistics Employment type: Full‑time, permanent.Work model: Hybrid — role is based in New York, NY; expects a mix of on‑site and remote work.Expected level: Entry level (early career candidates with strong technical skills are encouraged to apply).Education requirement: Bachelor’s degree or equivalent credential. Compensation & Benefits Salary range: $88,000 - $110,000 per year. Actual pay within this range will depend on qualifications, experience, geography, and other job‑related factors.Additional compensation and benefits may include bonus structure, paid time off (PTO), and standard benefits offered by the employer. 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.