Senior Data Scientist: End-to-End AI/ML Architect

KANINI; Nashville (TN); On-site; USD 120,000 - 180,000; Full time

Job summary

KANINI seeks a pioneering Senior Data Scientist to own the full data science lifecycle for our flagship prediction model project. This role is mission-critical—independent, with deep AI/ML mastery, hands-on engineering, and sharp business acumen to deliver production-grade outcomes.

You will lead end-to-end data analysis and design scalable pipelines, develop and deploy ML models via APIs, and translate complex problems into precise data science statements.

Qualifications

• 5+ years hands-on data science experience with at least 2 years delivering production-grade ML models.
• Own and deliver end-to-end data science projects independently.
• Portfolio showing innovation in predictive modeling and measurable business impact.

Responsibilities

• Lead end-to-end data analysis of large, 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.
• Architect, train, evaluate, and iterate ML models — supervised, unsupervised, and reinforcement learning.
• Own feature engineering: selection, extraction, transformation, and dimensionality reduction.
• Deploy models via REST APIs (FastAPI/Flask); ensure reproducibility and scalability.
• 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 data science lifecycle; mentor junior team members.

Skills

Bayesian inference

Hypothesis testing

Regression

Time-series forecasting

Supervised learning

Unsupervised learning

Model explainability

NLP

Statistical analysis

Probability

Education

PhD preferred

MS/PhD in CS/Stats

Tools

SQL advanced

Git/GitHub

CI/CD for ML

ML Ops

Docker

Kubernetes

Snowflake basics

Snowpark

dbt

Job description

KANINI seeks a pioneering Senior Data Scientist to own the full data science lifecycle for our flagship prediction model project. This role is mission-critical—independent, with deep AI/ML mastery, hands-on engineering, and sharp business acumen to deliver production-grade outcomes.

You will lead end-to-end data analysis and design scalable pipelines, develop and deploy ML models via APIs, and translate complex problems into precise data science statements.