About the Role :

We are looking for a Data Scientist to develop data-driven solutions that address business and product challenges. The role will involve working across data preparation, exploratory analysis, statistical and machine learning modelling, visualization, and production deployment.

Key Responsibilities :

- Collect, clean, transform, and analyze structured and unstructured data.

- Develop and implement machine learning and statistical models.

- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

- Build predictive models for forecasting, classification, and optimization problems.

- Evaluate model performance and improve model accuracy, reliability, and robustness.

- Create dashboards, reports, and data visualizations to communicate insights effectively.

- Collaborate with engineering, product, business, and analytics teams to solve business problems.

- Translate business requirements into data-driven solutions and measurable outcomes.

- Deploy, monitor, and maintain machine learning models in production environments.

- Maintain clear documentation of datasets, models, methodologies, experiments, and results.

Required Skills :

- Strong proficiency in Python and SQL.

- Hands-on knowledge of data preprocessing, feature engineering, model training, and model validation.

- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.

- Strong analytical, statistical, and problem-solving skills.

- Ability to interpret data and communicate insights clearly to technical and non-technical stakeholders.

- Good communication, presentation, and collaboration skills.

Preferred Skills :

- Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Knowledge of NLP, computer vision, or Generative AI.

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Familiarity with MLflow, Docker, Kubernetes, or broader MLOps practices.

- Experience working with large datasets and distributed computing frameworks such as Apache Spark.

Role Highlights :

- Hybrid work model with opportunities in Bengaluru and Pune.

- End-to-end exposure to data science, machine learning, visualization, and production deployment.

- Cross-functional collaboration with engineering, product, business, and analytics teams.