We are looking for a Data Scientist who understands that models are only valuable when they solve real business problems . This role is for someone who can move seamlessly from raw data to insights, from experimentation to production-ready solutions.

You will work on complex datasets, design intelligent models, and influence decision-making at scale. This is not a reporting role - it’s about thinking deeply, modeling intelligently, and delivering measurable impact .

What You Will Do

Analyze large, complex datasets to uncover meaningful patterns and opportunities
Design, build, and validate statistical and machine learning models for real-world use cases
Translate ambiguous business problems into well-defined analytical solutions
Work closely with Engineering, Product, and Business teams to deploy models into production
Perform feature engineering, model tuning, and performance evaluation
Build experimentation frameworks and measure model impact post-deployment
Communicate insights clearly to technical and non-technical stakeholders
Continuously improve models using feedback, monitoring, and new data

What We’re Looking For

Strong foundation in statistics, probability, and machine learning
Hands-on experience with Python / R and data science libraries
Experience working with structured and unstructured datasets
Solid understanding of model evaluation, bias, variance, and interpretability
Strong SQL skills and comfort working directly with large datasets
Experience collaborating with Data Engineers to operationalize models
Familiarity with cloud-based data and ML platforms

Data Scientist

Job description