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 across healthcare, finance, and retail sectors. Our collaborative environment values innovation and impact, offering competitive benefits and cutting-edge resources to accelerate your career.
Why QuantumLeap?
- Work with petabyte-scale datasets and state-of-the-art ML infrastructure
- Mentorship from PhD-level researchers and industry veterans
- Flexible hybrid work model with quarterly innovation retreats
- Comprehensive health/dental/vision plans + 401k matching
Responsibilities
- Develop and deploy production-level ML models using Python, TensorFlow, and PyTorch
- Design statistical experiments to validate hypotheses and drive product decisions
- Create interactive dashboards and reports using Tableau and D3.js
- Collaborate with engineering teams to implement data pipelines on AWS/GCP
- Present findings to C-suite executives through compelling data narratives
- Mentor junior data scientists and contribute to R&D initiatives
Qualifications
- 5+ years of data science experience with proven portfolio of ML deployments
- Expertise in statistical modeling (regression, time-series, causal inference)
- Proficiency in Python, SQL, and distributed computing frameworks
- Advanced degree in Statistics, Computer Science, or related field
- Experience with cloud platforms (AWS/GCP) and MLOps tools
- Strong business acumen and stakeholder management skills
- Published research or patents in ML/AI preferred