Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into actionable business intelligence. We're pioneering AI-driven solutions for Fortune 500 clients in healthcare, finance, and tech. This hybrid role offers unmatched opportunities to leverage cutting-edge machine learning frameworks while mentoring a talented team of analysts. Enjoy competitive equity, flexible scheduling, and dedicated R&D time to explore emerging technologies.
Responsibilities
- Design and implement end-to-end ML pipelines using Python, PyTorch, and cloud platforms
- Collaborate with product teams to translate business challenges into data-driven solutions
- Lead A/B testing frameworks and statistical analysis for product optimization
- Present findings to C-suite executives through compelling data visualizations
- Mentor junior data scientists and establish best practices for model deployment
- Conduct research on NLP and computer learning applications for client projects
Qualifications
- Master's degree in Statistics, Computer Science, or related field
- 5+ years of hands-on experience with Python, SQL, and ML frameworks
- Proven track record of deploying production-level ML models at scale
- Expertise in statistical analysis and experimental design
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools
- Strong communication skills translating technical concepts to stakeholders
- Publications or open-source contributions in data science communities