Job Description
Join QuantumLeap Analytics, a leading AI innovator, as we transform industries through data-driven solutions. Our New York team develops cutting-edge machine learning models for Fortune 500 clients in finance and healthcare. This hybrid role offers competitive benefits, flexible work arrangements, and opportunities to shape the future of data science.
Responsibilities
- Design and implement scalable ML pipelines using Python and TensorFlow
- Analyze large datasets to identify actionable business insights
- Collaborate with cross-functional teams to deploy production models
- Present findings to C-level executives through compelling data visualizations
- Mentor junior data scientists and drive best practices
- Stay current with research in NLP and predictive analytics
Qualifications
- Master's degree in Data Science, Statistics, or related field
- 5+ years of experience in applied machine learning
- Proficiency in SQL, Python (Pandas, Scikit-learn), and cloud platforms
- Strong statistical modeling and experimental design skills
- Experience with A/B testing and causal inference
- Excellent communication and presentation abilities