Principal Data Scientist Hyderabad, India

JOB TITLE : Principal Data Scientist

Technical Skill / Delivery :

Ability to prepare model training data in BigQuery and GCS

Strong SQL skills working with complex queries (Aggregate / Window functions / CASE statements).

Excellent scripting and coding skills, able to code using well defined patterns

Strong Machine Learning modeling skills and MLOpsAble to build / deploy / support end to end (Data Ingestion / Prep – Model Training – Dashboard) machine learning systems.

Expertise with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Query optimization to improve data preparation performance

Hands on experience with Google Data and ML Products (e.g. BigQuery, VertexAI Notebooks and Pipelines, etc.).

Experience in data processing using SQL and PySpark

Able to build / deploy end to end (Data Ingestion / Prep – Model Training – Dashboard) machine learning systems.

Ability to lead Machine Learning projects end to end (Data Ingestion – Data Prep – Model Training – Deployment – Dashboarding). Working with JIRA / Confluence.

Best Practices :

Strong knowledge in DevOps / MLOps best practices

Experience in using multiple ML Libraries in cross platform implementations (Python / R)

Experience in Machine Learning Training / Prediction / Deployment implementation.

Business Domain :

Good understanding of internal data domains (e.g. Empower, Oracle, Kronos, Employee, NICE).

Good understanding of Contact Center Switch data

Soft Skills

Ability to write clear concise code.

Strong organizational skills.

Able to work with cross functional teams in problem solving and adding business value with AI-ML.

Strong team player.

Good verbal & written communication skills

Must be a fast learner

Ability to document processes in the Machine Learning Lifecycle

Strong team player by contributing to the innovative ideas that enhance our AI-ML capabilities.

Strong documentation skills.

Build strong relationship with business partners.