Job Description
Join QuantumLeap Analytics, a pioneer in AI-driven solutions, as we revolutionize how businesses leverage data. We're seeking a visionary Senior Data Scientist to architect cutting-edge machine learning models that transform raw data into strategic insights. Our culture thrives on innovation, collaboration, and pushing technological boundaries. You'll work directly with Fortune 500 clients to solve complex challenges in healthcare, finance, and sustainability.
Why QuantumLeap?
- Equity package and 401(k) matching
- Unlimited learning stipend
- Flexible hybrid work model
- State-of-the-art lab facilities
Responsibilities
- Design and deploy scalable ML pipelines for predictive analytics
- Lead A/B testing frameworks for product optimization
- Translate business requirements into technical solutions
- Mentor junior data scientists on best practices
- Present findings to C-suite executives using data visualization
- Implement NLP techniques for unstructured data analysis
- Ensure ethical AI deployment and bias mitigation
Qualifications
- PhD in Computer Science, Statistics, or related field
- 7+ years of applied data science experience
- Expertise in Python, TensorFlow/PyTorch, and SQL
- Published research in peer-reviewed journals
- Proficiency with cloud platforms (AWS/GCP/Azure)
- Strong background in statistical modeling
- Experience with MLOps tools (MLflow, Kubeflow)
- Portfolio demonstrating end-to-end ML projects