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.
- Robust 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.

📌 S P A Enterprise Services - Data Scientist - Python (India)
🏢 S P A Enterprise Info Services (India
📍 India