Infocepts - Data Scientist - Machine Learning Models

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.

Location : Chennai/ Bangalore/ Pune/ Nagpur.

Type of Employment: Full time.

Key Result Areas and Activities :

- Model Development & Analysis: Develop machine learning models for classification, regression, and forecasting tasks using Python and relevant libraries.

- Data Preparation & Feature Engineering: Clean, transform, and prepare structured and unstructured data for modeling and analysis.

- Business Collaboration: Work with business stakeholders to understand requirements and translate them into data science solutions.

- Model Evaluation & Reporting: Evaluate model performance using appropriate metrics and present findings through visualizations and reports.

- Deployment Support: Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.

Work and Technical Experience:

Must Have Skills:

- Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn).

- Experience with machine learning techniques and model development.

- Knowledge of data preprocessing, feature engineering, and model evaluation.

- Familiarity with SQL and data querying.

- Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git).

- Ability to work with large datasets and distributed computing frameworks (e.g., Spark).

- Strong problem-solving and analytical thinking.

Good To Have Skill :

- Experience with deep learning frameworks (TensorFlow, PyTorch).

- Knowledge of PySpark or Databricks.

- Understanding of MLOps practices and CI/CD pipelines.

- Exposure to GenAI or LLM-based applications.

- Experience in supply chain, operations, or financial analytics domains.

Qualification :

Experience :

- 5+ years of experience in data science, machine learning, or analytics roles.

Education :

- Bachelors degree in computer science, Engineering, Mathematics, Statistics, or a related field.

- Masters degree is a plus.