Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into actionable business intelligence. We're seeking a visionary professional to architect cutting-edge solutions that drive innovation across our fintech portfolio. Collaborate with elite engineers and strategists in a dynamic, AI-powered environment where your insights directly impact global financial systems. Enjoy competitive benefits, flexible work arrangements, and opportunities to present at industry conferences.
Responsibility
- Design and implement machine learning models for predictive analytics and fraud detection
- Translate complex business challenges into data-driven solutions using Python, R, and SQL
- Lead A/B testing frameworks and statistical analysis for product optimization
- Develop real-time data pipelines using Apache Spark and cloud platforms (AWS/GCP)
- Present findings to C-suite executives through compelling data visualizations and narratives
- Mentor junior data scientists and champion ethical AI practices
Qualification
- Master's or PhD in Statistics, Mathematics, Computer Science, or related field
- 5+ years of experience in data science with proven portfolio of ML deployments
- Expertise in Python (scikit-learn, TensorFlow) and statistical modeling techniques
- Strong business acumen with ability to translate technical findings to ROI
- Experience with cloud data warehousing (BigQuery, Redshift) and ETL processes
- Certification in AWS/GCP data/AI services preferred
- Prior fintech or SaaS industry experience required