Data Scientist

About this role

Scope:

We are hiring a
pioneering, fully autonomous Senior Data Scientist
to own the complete data science lifecycle for our flagship prediction model project. This role is
mission-critical
— the candidate will be the single point of expertise responsible for sourcing, analyzing, and engineering all data that powers our predictive models. Operating independently with minimal supervision, this individual must combine
deep AI/ML mastery, hands-on engineering skills, and sharp business acumen
to deliver measurable, production-grade outcomes.

Key Responsibilities:

Data Analysis & Pipeline Ownership

▸ Lead end-to-end analysis of large, complex, multi-source datasets to surface patterns driving model inputs

▸ Identify, collect, clean, validate, and transform all data required for prediction model consumption

▸ Design and maintain scalable, production-grade data pipelines (training, validation, inference)

▸ Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards

Predictive Modeling & AI/ML

▸ Architect, train, evaluate, and iterate ML models — supervised, unsupervised, and reinforcement learning

▸ Own feature engineering: selection, extraction, transformation, and dimensionality reduction

▸ Apply advanced techniques: deep learning, NLP, time-series forecasting, ensemble methods

▸ Benchmark, A/B test, and monitor models in production; drive continuous performance improvement

▸ Deploy models via REST APIs (FastAPI/Flask); ensure reproducibility and scalability

Independent Ownership & Leadership

▸ Self-direct from problem definition through solution delivery with zero hand-holding

▸ Translate ambiguous business problems into precise, executable data science problem statements

▸ Communicate model results and data insights clearly to technical and non-technical stakeholders

▸ Document all experiments, methodologies, and outcomes — audit-ready and reproducible

▸ Champion best practices across the...