Description :

We are looking for a Data Scientist with 4+ years of experience who can analyze data, build ML models, provide actionable insights, and leverage Generative AI for business and product innovation.

Work Location In-office Bengaluru

Responsibilities :

- Solve business-critical problems using classical machine learning and statistical modeling techniques.

- Deliver high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring.

- Analyze structured and unstructured data to uncover patterns, trends, and opportunities.

- Develop ML models for prediction, classification, recommendation, forecasting, and optimization.

Build and optimize models including :

- Regression models

- Logistic regression and classification systems

- Gradient boosting models (XGBoost, LightGBM)

- Recommendation systems

- Propensity modeling solutions

- Risk scoring and risk modeling frameworks

- Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.

- Evaluate model performance using appropriate statistical metrics and validation techniques.

- Collaborate with product and engineering teams to integrate ML pipelines and models into production systems.

- Design scalable training and inference workflows.

- Continuously improve model accuracy, efficiency, and reliability through experimentation and tuning.

- Adopt best practices in the ML development lifecycle (data versioning, model evaluation, monitoring, retraining).

- Document analyses, models, pipelines, and recommendations clearly.

- Research and recommend improvements in ML methodologies and modeling approaches.

Requirements :

Technical Skills :

- Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).

- Strong understanding of machine learning algorithms including regression, classification, and ensemble methods.

- Experience building predictive models, recommendation systems, propensity models, and risk models.

- Knowledge of data manipulation and analysis tools (Pandas, NumPy, SQL).

- Strong experience in exploratory data analysis (EDA) and feature engineering.

- Experience deploying ML solutions on cloud platforms (AWS, GCP, or Azure).

- Understanding of model evaluation, validation techniques, and performance optimization.

- Ability to recommend suitable modeling approaches for business problems.

- Strong analytical thinking and problem-solving ability.

Why Join Us?

- Skill Growth : Work on AI/ML, Generative AI, and modern NLP projects using tools like LangChain.

- Learning Culture : Collaborate with intelligent colleagues and learn continuously.

- Real Impact : Develop models and AI solutions that directly improve business outcomes.

- Autonomy : Drive your work independently and propose AI/ML strategies.

- Work-Life Balance : Paid leave, insurance, and flexible environment.