Data Science Lead – MLOps, Advanced Analytics
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Job Description
Data Science Lead architecting production ML and AI systems for Resilient Co. using Azure, Databricks, Spark, and MLOps. Leading predictive modeling, automation, deployment, and drift monitoring across enterprise data products.
Responsibilities:
- Architect and deliver end-to-end production-grade ML and AI systems using MLOps principles
- Oversee the full lifecycle from hypothesis and exploratory data analysis through feature engineering, model selection, and production deployment
- Bridge Data Engineers and business stakeholders by translating KPIs into objective functions
- Architect automated pipelines for data validation, model profiling, and hyperparameter tuning using Azure Machine Learning Services
- Establish monitoring for data drift and concept drift after deployment
- Steer development of predictive models within CI/CD/CT frameworks
- Transform large raw datasets into scalable enterprise intelligence using Azure Databricks, Spark, and Azure ML
Requirements:
- 5–8 years of total experience
- 4+ years of hands-on Data Science experience
- 2+ years leading technical teams or complex projects
- BE/BS or MS/PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field
- Proficiency in supervised and unsupervised learning, Gradient Boosted Trees, XGBoost, LightGBM, Random Forests, and Neural Networks
- Mastery of hypothesis testing, Bayesian inference, and error analysis
- Ability to design complex experiments and A/B tests
- Knowledge of loss-function customization and optimization algorithms including Gradient Descent and Genetic Algorithms
- Advanced proficiency in Python, Pandas, Scikit-learn, PySpark/TensorFlow, and SQL
- Hands-on experience with PySpark and Databricks for distributed processing of petabyte-scale datasets
- Expert-level knowledge of MLFlow and Kubeflow or Azure Pipelines
- Experience with Docker/Kubernetes and deploying batch inference jobs
- Advanced forecasting experience with Prophet, ARIMA, or LSTM networks is highly desirable
- Technical mentorship, Agile/Scrum familiarity, and stakeholder-management abilities are listed as nice to have
Benefits:
- 3-month initial contract with rolling/ongoing project and quarterly renewals based on performance
- BYOD (Bring Your Own Device)
- No overtime required
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