Job Description
Join Quantum Insights Analytics as a Senior Data Scientist to transform complex datasets into actionable business intelligence. We're a cutting-edge fintech startup revolutionizing predictive analytics for global financial institutions. In this pivotal role, you'll architect machine learning solutions that directly impact our product roadmap and drive revenue growth. Our collaborative environment offers mentorship opportunities with PhD-level researchers and exposure to Fortune 500 clients.
We offer comprehensive benefits including equity packages, flexible remote work options, and a dedicated professional development fund. Our state-of-the-art office in downtown San Francisco provides panoramic bay views and a vibrant innovation hub where data science meets financial technology.
Responsibilities
- Design and implement end-to-end ML pipelines for fraud detection, risk assessment, and customer segmentation models
- Translate business requirements into technical specifications using Python, SQL, and cloud platforms (AWS/GCP)
- Collaborate with product teams to deploy production models with real-time inference capabilities
- Lead A/B testing frameworks and statistical analysis to validate model performance
- Mentor junior data scientists and present findings to executive stakeholders
- Research and integrate cutting-edge NLP techniques for unstructured financial data processing
Qualifications
- 5+ years of experience in data science with proven impact in fintech or regulated industries
- Expertise in Python (Scikit-learn, TensorFlow/PyTorch) and SQL with optimization skills
- Strong statistical modeling background (regression, time-series, Bayesian methods)
- Experience deploying ML models at scale using cloud infrastructure (AWS SageMaker preferred)
- Advanced degree in Computer Science, Statistics, Mathematics, or related field
- Portfolio demonstrating 3+ production-level ML projects with measurable business impact
- Excellent communication skills for technical and non-technical stakeholders