Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into actionable business insights. We're a cutting-edge fintech startup revolutionizing financial forecasting through AI-driven solutions. You'll collaborate with elite engineers and product leaders to build scalable ML models that impact millions of users. Enjoy competitive equity packages, flexible work arrangements, and a culture that champions innovation.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics
- Leverage big data technologies (Spark, Hadoop) to process terabyte-scale datasets
- Translate business requirements into robust data science solutions
- Lead A/B testing frameworks and statistical analysis for product optimization
- Mentor junior scientists and present findings to executive stakeholders
- Develop real-time anomaly detection systems for financial transactions
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of experience in production-level ML model deployment
- Expertise in Python, SQL, and statistical modeling frameworks (scikit-learn, TensorFlow)
- Proven track record of delivering data products that drive measurable business impact
- Strong communication skills for technical and non-technical audiences
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools