Job description

Data Scientist to develop advanced analytical solutions and machine learning models that drive business value The role focuses on leveraging data applying statistical techniques and building scalable ML models using modern platforms such as Databricks MLflow and Azure ML

Key Responsibilities

Machine Learning Model Development

Develop train and deploy machine learning models using Python Databricks Unity Catalog MLflow and workflows

Design and implement endtoend ML solutions including data preparation feature engineering model training and evaluation

Apply advanced algorithms across supervised unsupervised and deep learning use cases

Optimize model performance through hyperparameter tuning model selection and validation techniques

Data Engineering Feature Development

Perform data extraction transformation and analysis using SQL and PySpark

Create and refine features from raw datasets to improve model accuracy and predictive power

Ensure data quality by processing cleansing and validating datasets

Analytics Insights

Conduct exploratory data analysis EDA and data mining to uncover patterns trends and actionable insights

Develop analytical models to support strategic and operational decisionmaking

Perform ad hoc analysis and respond to business data requests

Model Deployment Lifecycle

Deploy models using modern ML platforms Databricks Azure ML





Maintain and enhance existing models ensuring performance and reliability

Collaborate with engineering teams for scalable production deployment and monitoring

Collaboration Communication

Work with crossfunctional stakeholders to identify AIMLdriven opportunities

Translate business problems into analytical solutions

Communicate findings through presentations dashboards and executive summaries

Documentation Governance

Maintain clear documentation of models code and analytical processes

Ensure reproducibility and adherence to data governance standards

Technical Skills

Core Skills

Solid programming skills in Python

Proficiency in SQL PySpark

Experience with Databricks MLflow andor Azure ML

Handson experience in machine learning model development and deployment

Machine Learning Statistics

Strong understanding of ML algorithms statistical modeling and data science techniques

Experience with libraries such as

Scikitlearn

TensorFlow Keras

XGBoost

Expertise in model evaluation optimization and validation techniques

MLOps Awareness Good to Have

Exposure to ML lifecycle management CICD concepts and model monitoring

Understanding of model drift observability and performance tracking

Skills

Mandatory Skills : Azure Machine Learning, Python - Data Science

Share your updated resume at: [email protected]

📌 Python-Data Science (India)
🏢 VH Mobile Metrics
📍 India