Data Scientist - Predictive Analytics & ML
E
Enable Data IncorporatedData Science
IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonMachine LearningCI/CDscikit-learnMLOpsPySpark
Requirements
- 10+ years of hands-on experience in data science and ML development.
- Strong hands-on experience in leading complex analytical problem solving using traditional ML architecture (supervised, unsupervised learning, time series, and Deep learning).
- Expertise in Python, PySpark, scikit-learn, XGBoost, and related ML libraries.
- Strong experience with Azure data and ML services (Azure Databricks, Azure ML, ADLS, ADF).
- Solid understanding of distributed computing and performance optimization using Spark.
- Proven ability to lead technical teams, conduct code reviews, mentor juniors, and manage project execution.
- Experience with MLOps practices and CI/CD pipelines.
- Excellent communication, stakeholder management, and problem-solving skills.
Responsibilities
- Lead and mentor a team of data scientists and analysts; provide technical guidance and ensure high-quality deliverables.
- Design, develop, and optimize machine learning models (classification, regression, clustering, forecasting, etc.).
- Build and maintain big data processing pipelines using PySpark, Spark SQL, and distributed computing environments.
- Architect and deploy scalable ML solutions on Azure (Azure Databricks, Azure ML, ADLS, ADF).
- Oversee feature engineering, model lifecycle management, monitoring, and performance tuning.
- Collaborate with cross-functional teams to translate business needs into analytical solutions.
- Present insights, model outputs, and recommendations to technical and business stakeholders.
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