Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform raw data into strategic business intelligence. We're a cutting-edge AI firm revolutionizing predictive analytics for Fortune 500 clients. Your expertise will directly shape our next-gen machine learning platforms while collaborating with elite engineers and industry leaders.
What we offer:
- Equity package and quarterly performance bonuses
- Unlimited PTO and flexible remote work options
- $10k annual professional development stipend
- State-of-the-art GPU lab and hackathons
Responsibilities
- Design and implement end-to-end ML pipelines using Python, PyTorch, and Spark
- Develop predictive models for customer behavior forecasting and anomaly detection
- Translate complex data insights into actionable business recommendations
- Lead A/B testing frameworks and experimental design for product optimization
- Mentor junior scientists and present findings to C-suite executives
- Collaborate with engineering teams to deploy models into production
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of experience in applied data science with production models
- Expertise in statistical modeling (regression, time series, Bayesian methods)
- Proficiency with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes)
- Strong portfolio showcasing ML projects with measurable business impact
- Experience with data visualization tools (Tableau, Power BI)
- Excellent communication skills translating technical concepts to stakeholders