Data Scientist
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-02-15
Listing for:
Xcede
Full Time
position Listed on 2026-02-15
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
Senior Data Scientist with deep experience in marketing analytics, product data science, machine learning, and growth strategy to lead our marketing data function and build product-facing data capabilities at a fast-growing Series A startup.
This is a high-impact role for a hands‑on data scientist who combines strong technical expertise in statistics, machine learning, and coding with strategic thinking. You will operate in a fast‑paced, ambiguous environment and play a critical role in shaping product direction, improving customer outcomes, and driving measurable growth.
What you’ll do- Own and scale the marketing data science function to support aggressive growth targets.
- Build and enhance product-facing data features that deliver valuable financial insights to customers.
- Conduct deep‑dive analyses for risk modeling and underwriting, particularly for customer loans.
- Work with large, messy datasets to uncover actionable insights and opportunities.
- Partner with product, marketing, and leadership to drive strategy and inform product decisions.
- Develop and deploy statistical and machine learning models to support key business initiatives.
- 5+ years of experience in data science, marketing analytics, product analytics, or a related field.
- Building 0 to 1 data products or services.
- Analyzing financial markets or consumer research
- Experience at a fintech, e‑commerce, lending, or D2C business
- Strong foundation in statistics, machine learning, and experimental design.
- Advanced proficiency in SQL and Python (R is a plus).
- Experience working with large-scale datasets and modern data stacks.
- Ability to translate complex data into clear, strategic recommendations.
- Comfortable operating in a fast‑paced, ambiguous startup environment.
- SQL
- Python
- R
- Big data tools and distributed data systems
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