Job Description
Join Quantum Insights Labs as a Senior Data Scientist and transform raw data into strategic business intelligence. We're a cutting-edge fintech startup revolutionizing predictive analytics for global markets. In this pivotal role, you'll architect ML pipelines that drive multi-million dollar decisions while mentoring a team of brilliant data professionals. Our culture combines academic rigor with startup agility, offering unparalleled growth opportunities in the heart of Silicon Valley.
We provide competitive equity packages, flexible work arrangements, and dedicated innovation time to explore emerging AI technologies. If you're passionate about solving complex problems with data and making tangible impact, this is your next career-defining move.
Responsibilities
- Design and deploy end-to-end machine learning solutions for real-time fraud detection and risk modeling
- Lead A/B testing frameworks to optimize product features using causal inference techniques
- Develop scalable data pipelines processing 10M+ daily records using Spark and Kafka
- Create executive-level visualizations and narratives translating complex analytics into actionable strategies
- Mentor junior data scientists and establish best practices for model governance
- Pioneer research into novel NLP applications for financial sentiment analysis
- Collaborate with engineering teams to deploy models into production environments
Qualifications
- PhD or Master's in Computer Science, Statistics, or related quantitative field
- 6+ years of experience in applied data science with production ML systems
- Expertise in Python (scikit-learn, XGBoost) and SQL with terabyte-scale datasets
- Strong foundation in statistical modeling, experimental design, and causal inference
- Proficiency with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes)
- Experience building recommendation systems or time-series forecasting models
- Demonstrated ability to translate technical insights to non-technical stakeholders