DATA Scientist

S P A Enterprise Info Services; Pune District, Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

S P A Enterprise Info Services in India is seeking a Data Scientist to develop data-driven solutions addressing business and product challenges. The role will cover data preparation, exploratory analysis, statistical and machine learning modelling, visualization, and production deployment.

Strong in Python and SQL is preferred. Collaborate with engineering, product, business, and analytics teams to translate requirements into practical data science solutions and measurable outcomes.

Qualifications

• 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.

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.

Skills

Python

SQL

Data preprocessing

Feature engineering

Model training

Model validation

Data visualization

Communication

Tools

Power BI

Tableau

MLflow

Docker

Kubernetes

Apache Spark

AWS

Azure

GCP

Job description

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. The ideal candidate should be strong in Python and SQL, with solid analytical skills and the ability to translate business requirements into practical data science solutions.

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.