Position : Data Scientist

Type of Employment : Full-time

Purpose of the Position :

The Data Scientist will be responsible for designing and implementing data-driven solutions to solve business problems.

This role involves working with large datasets, building predictive models, and collaborating with cross-functional teams to deliver actionable insights.

The position is ideal for someone with strong analytical skills and hands-on experience in data science tools and techniques.

Key Result Areas and Activities :

Data Analysis & Model Development :

- Develop and validate machine learning models for classification, regression, and forecasting under guidance from senior team members.
- Apply standard modeling techniques using Python and common data science libraries.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

Data Preparation & Feature Engineering :

- Clean, transform, and prepare datasets for analysis and modeling.
- Create and refine features to improve model performance using established techniques.
- Work with SQL and data pipelines to source relevant data.

Model Evaluation & Reporting :

- Evaluate model performance using appropriate metrics.
- Document assumptions, methodology, and results.
- Support the preparation of dashboards, reports, and presentations to communicate insights.

Collaboration & Execution :

- Work closely with senior data scientists, data engineers, and business stakeholders to support solution delivery.
- Understand business requirements and translate them into analytical tasks.
- Follow established development and documentation standards.

Deployment Support :





- Assist engineering or MLOps teams during model deployment.
- Support model monitoring activities under guidance (e.g., basic performance tracking).

Essential Skills :

- Solid proficiency in Python and data science libraries such as Pandas, NumPy, Scikit-learn.
- Good understanding of machine learning fundamentals and common algorithms.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Working knowledge of SQL for data querying.
- Basic exposure to cloud platforms (AWS / Azure / GCP).
- Familiarity with version control systems such as Git.
- Basic understanding of working with large datasets; exposure to Spark/PySpark is a plus.

Desirable Skills :

- Exposure to deep learning frameworks (TensorFlow or PyTorch).
- Basic understanding of MLOps concepts and model deployment workflows.
- Familiarity with experiment tracking tools (MLflow or similar) introductory level.
- Exposure to business domains such as retail, supply chain, finance, or operations.
- Awareness of emerging analytics areas such as GenAI / LLMs (conceptual or limited hands-on).

Qualification :

- 7-9 years of experience in data science, machine learning, or analytics roles.
- Bachelors degree in computer science, Engineering, Mathematics, Statistics, or a related field. Masters degree is a plus.

Qualities :

- Curiosity and eagerness to learn new technologies.
- Strong communication and collaboration skills.
- Attention to detail and commitment to quality.
- Ability to work independently and in teams.
- Adaptability in fast-paced environments.
- Strong analytical and problem-solving abilities.

Location :

- Pune, Maharashtra, India

Years Of Exp :

- 7 to 9 years

📌 InfoCepts - Data Scientist - Predictive Modeling (India)
🏢 Infocepts Technologies
📍 India