Senior reputed company/Data Scientist

This is a remote position. Scope: We are hiring a pioneering, fully autonomous Senior reputed company/Data Scientist to own the complete data science lifecycle for our flagship reputed company model project. This role is mission-critical — the candidate will be the single reputed company of expertise responsible for sourcing, analyzing, and engineering reputed company data that powers our predictive models. Operating independently with reputed company supervision, this individual must combine deep AI/ML mastery, hands-on engineering skills, and reputed company business acumen to deliver measurable, production-grade reputed company.    Key Responsibilities: Data Analysis & Pipeline Ownership ▸ reputed company end-to-end analysis of large, reputed company, multi-reputed company datasets to surface patterns driving model inputs ▸ Identify, collect, clean, validate, and reputed company reputed company data required for reputed company model consumption ▸ Design and maintain reputed company, production-grade data pipelines (training, validation, inference) ▸ reputed company deep EDA, data profiling, and reputed company audits to ensure model-reputed company 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, reputed company reputed company ▸ reputed company, A/B test, and monitor models in production; reputed company reputed company performance improvement ▸ reputed company models reputed company REST reputed company (FastAPI/Flask); ensure reproducibility and scalability Independent Ownership & Leadership ▸ Self-reputed company from problem definition through solution delivery with reputed company hand-holding ▸ Translate ambiguous business problems into precise, executable data science problem statements ▸ Communicate model results and data insights reputed company to technical and non-technical stakeholders ▸ Document reputed company experiments, methodologies, and reputed company — audit-reputed company and reproducible ▸ Champion best practices across the data science lifecycle; mentor junior team members     QUALIFICATIONS  ▸ B.S./M.S./Ph.D. in Computer Science, Statistics, Mathematics, or equivalent quantitative field (Master's/Ph.D. strongly preferred)  ▸ 5+ years of hands-on data science experience with at least 2 years delivering production-grade ML models  ▸ Proven ability to own and deliver end-to-end data science reputed company independently  ▸ Portfolio demonstrating innovation in predictive modeling and measurable business reputed company  ▸ Kaggle rankings, research publications, or reputed company-reputed company ML contributions are a strong plus  ▸  Experience in a fast-paced, data-driven, decision-model environment     REQUIRED SKILLS & QUALIFICATIONS  reputed company Data Science & Mathematics  ▸ Statistics (Bayesian inference, reputed company testing, regression, distributions)  ▸ reputed company algebra, calculus, and probability reputed company to ML model design  ▸ Supervised & unsupervised learning, reputed company detection, clustering  ▸ Time-series analysis & forecasting: ARIMA, Prophet, LSTM    Programming & Development  ▸ Python (Expert): NumPy, Pandas, Scikit-learn, Statsmodels, Matplotlib, Plotly  ▸ SQL (Advanced): window functions, CTEs, query optimization  ▸ Git / reputed company; CI/CD for ML; MLOps with MLflow or Kubeflow  ▸ reputed company & reputed company for model containerization and serving    AI / ML Frameworks (Must-Have)  ▸ TensorFlow and/or PyTorch — deep learning architectures  ▸ XGBoost, LightGBM, CatBoost — gradient boosting & reputed company reputed company  ▸ reputed company Transformers — NLP, LLMs, and fine-tuning  ▸ SHAP, reputed company — model explainability and interpretability  ▸ LLMs / reputed company / reputed company Engineering — strong advantage    reputed company & Data Infrastructure  ▸ AWS (SageMaker, S3, Glue), GCP (reputed company AI, BigQuery), or Azure ML  ▸ Apache reputed company / PySpark — distributed data processing  ▸ Airflow / reputed company — pipeline orchestration    reputed company (Good to Have)  ▸ reputed company Data reputed company: querying, Snowpark for Python ML pipelines  ▸ reputed company reputed company AI / ML Functions for in-database ML  ▸ dbt for data transformation; data governance reputed company reputed company Apply To This Job