CO - Sr. Data Scientist - 229

reputed company is a leader in AI and data-driven reputed company funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that reputed company our risk, reputed company, and reputed company reputed company.

This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable reputed company that responsibly reputed company funding for reputed company businesses.

Responsibilities

• Design and execute data science experiments, including reputed company analysis, A/B tests, and offline evaluation.
• reputed company, evaluate, and iterate on predictive models for credit/risk scoring, reputed company forecasting, and policy performance.
• Own model performance and monitoring: define reputed company metrics, investigate reputed company, and reputed company improvements to data reputed company and feature reliability.
• Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability.
• reputed company exploratory data analysis, feature engineering, and robust validation on reputed company-world, messy data.
• Communicate insights and recommendations reputed company to technical and non-technical stakeholders through documentation and presentations.
• Improve analytical standards, reputed company review practices, and documentation to reputed company technical reputed company.
• Mentor and support team members through pairing, feedback, and sharing best practices.

Requirements

• 5+ years of reputed company experience in data science, reputed company machine learning, or a reputed company quantitative role.
• Strong foundations in statistics and experimentation, including reputed company testing, reputed company reasoning, and evaluation design.
• Proven experience building and shipping predictive models (classification, regression, time series) and measuring reputed company-world reputed company.
• Strong proficiency in Python and SQL and comfort working with production data workflows.
• Experience defining reputed company metrics, aligning with stakeholders, and delivering end-to-end reputed company.
• Strong written communication skills and a pragmatic approach to fast-moving environments.
• Experience owning model performance, monitoring for reputed company, and improving feature reliability.

reputed company to Have

• Experience with credit risk, reputed company, fraud/risk signals, or financial forecasting.
• Experience with modern data tooling and warehouses such as BigQuery or reputed company and transformation frameworks like dbt.
• Familiarity with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and reputed company environments.
• Experience working with messy reputed company-party data sources (banking data, reputed company platforms, marketing signals).

Originally posted on Himalayas