Data Scientist

Global wave Softech Pvt Ltd is seeking an experienced Data Scientist to design and implement advanced AI/ML models and analytics solutions that drive business insights, automation, and strategic decision-making across functions.

In this role, you will own the end-to-end model lifecycle — from business problem scoping to deployment, monitoring, and value realization. You will also help establish reusable AI assets, model governance frameworks, and best practices across the organization.

This position requires strong technical expertise combined with business acumen and stakeholder collaboration skills.

Translate complex business problems into structured data science solutions

Perform data preparation, exploratory data analysis (EDA), feature engineering, and hypothesis testing

Build, validate, and deploy predictive, classification, clustering, and optimization models

Integrate ML models into enterprise systems using APIs and CI/CD pipelines

Monitor model performance, detect drift, and manage retraining cycles

Deliver actionable insights and quantify measurable business impact

Collaborate with Business, Data Engineering, Dev Ops, and AI/ML teams

Mentor junior analysts and contribute to AI/ML best practices and knowledge sharing

Support model governance, documentation, and reproducibility standards

Strong proficiency in Python (preferred), R, and SQL

Solid foundation in Statistics and Machine Learning algorithms

Experience with Spark, Databricks

Hands-on exposure to MLflow, Azure ML, AWS Sage Maker

Experience integrating models using APIs and CI/CD pipelines

Familiarity with Power BI / Tableau for data visualization

Version control using Git

Experience working on cloud platforms (Azure preferred)

Exposure to NLP, Time Series Forecasting, LLMs, or Generative AI

Experience building scalable production-grade ML systems

Understanding of MLOps and model governance frameworks

Bachelor’s or Master’s degree in Engineering, Statistics, Applied Mathematics, Data Science, or a related quantitative field