Job Description
Join QuantumLeap Analytics at the forefront of data-driven innovation. We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this high-impact role, you'll architect cutting-edge ML solutions, collaborate with cross-functional teams, and drive measurable growth through advanced analytics. Our dynamic startup environment offers unparalleled opportunities to shape the future of AI while working with industry-leading technologies.
What You'll Achieve:
- Develop predictive models that directly impact product development and revenue
- Mentor junior scientists and foster a culture of data excellence
- Present findings to C-level executives and stakeholders
Responsibilities
- Design and implement scalable machine learning pipelines using Python and AWS
- Analyze terabyte-scale datasets to uncover market trends and customer insights
- Collaborate with product teams to translate analytics into feature specifications
- Lead A/B testing frameworks for data-driven decision making
- Optimize ML models for real-time inference and production deployment
- Document methodologies and present findings to executive leadership
- Stay current with research papers and implement state-of-the-art techniques
Qualifications
- 5+ years of hands-on experience in applied data science or ML engineering
- Advanced degree in Statistics, Computer Science, or related quantitative field
- Expert proficiency in Python (scikit-learn, pandas) and SQL
- Proven track record deploying ML models at scale (AWS/GCP/Azure)
- Strong mathematical foundation in linear algebra, probability, and statistics
- Experience with deep learning frameworks (TensorFlow/PyTorch)
- Exceptional communication skills for technical and non-technical audiences
- Portfolio demonstrating published research or open-source contributions