Job Description
Join QuantumLeap Analytics, a trailblazer in AI-driven solutions, as we revolutionize predictive analytics for Fortune 500 clients. As our Senior Data Scientist, you'll architect cutting-edge machine learning models that transform raw data into actionable business intelligence. Collaborate with cross-functional teams to solve complex challenges in healthcare, finance, and logistics while mentoring junior scientists. Enjoy competitive benefits including flexible work arrangements, continuous learning stipends, and equity participation in our fast-growing startup.
Responsibilities
- Design and deploy scalable ML pipelines using Python, TensorFlow, and PyTorch
- Translate business objectives into data-driven solutions through exploratory analysis
- Lead A/B testing frameworks and statistical modeling for product optimization
- Present insights to C-suite executives via interactive dashboards and reports
- Mentor junior data scientists and implement best practices in MLOps
- Research emerging AI techniques and implement novel approaches to complex problems
Qualifications
- 5+ years in data science with proven ML model deployment experience
- Expertise in Python, SQL, and distributed computing (Spark/AWS)
- Advanced degree in Statistics, Computer Science, or related field
- Strong portfolio demonstrating end-to-end data science projects
- Experience with cloud platforms (AWS/GCP/Azure) and containerization
- Exceptional communication skills translating technical concepts to stakeholders
- Published research or conference presentations in data science