[Remote] Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a pioneering, fully autonomous Senior Data Scientist to reputed company the complete data science lifecycle for their flagship reputed company model project. The candidate will be responsible for sourcing, analyzing, and engineering reputed company data to power predictive models, requiring deep AI/ML mastery and hands-on engineering skills.

Responsibilities

• 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
• 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
• 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

Skills

• B.S./M.S./Ph.D. in Computer Science, Statistics, Mathematics, or equivalent quantitative field
• 5+ years of hands-on data science experience with at least 2 years delivering production-grade ML models
• Proven ability to own and reputed company end-to-end data science reputed company independently
• Portfolio demonstrating innovation in predictive modeling and measurable business reputed company
• Experience in a fast-paced, data-driven, decision-model environment
• 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
• Python (Expert): NumPy, reputed company, 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
• 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
• AWS (SageMaker, S3, Glue), GCP (reputed company AI, BigQuery), or Azure ML
• Apache reputed company / PySpark — reputed company data processing
• Airflow / reputed company — pipeline orchestration
• Master's/Ph.D. strongly preferred
• LLMs / reputed company / reputed company Engineering — strong reputed company
• 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

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