Role : Data Engineer/Scientist

Experience : 2 to 10 Years

Location : Bengaluru | Hyderabad | Chennai | Pune | Mumbai | Gurugram | Noida

Work Mode : Work From Office (WFO)

Notice Period : Immediate Joiners Preferred

About the Role :

We are looking for Data Engineers/Scientists with strong analytical and machine learning expertise to solve complex business problems using statistical analysis, predictive modeling, and data-driven insights. The ideal candidate should have hands-on experience in data preprocessing, feature engineering, model development, and visualization techniques.

Key Responsibilities :

- Analyze large datasets to identify trends and actionable insights.

- Perform data cleaning, preprocessing, and feature engineering.

- Build and evaluate machine learning models for business use cases.

- Conduct exploratory data analysis (EDA) and statistical analysis.

- Develop predictive models using regression, classification, clustering, and time-series techniques.

- Perform hypothesis testing and A/B testing.

- Create dashboards and visualizations for stakeholders.

- Collaborate with cross-functional teams to deliver data-driven solutions.

- Optimize model performance and ensure scalability.

Mandatory Skills :

- Python

- SQL

- Statistics & Probability

- Pandas & NumPy

- Scikit-learn

- Exploratory Data Analysis (EDA)

- Data Cleaning

- Feature Engineering

- Hypothesis Testing

- A/B Testing

- Regression

- Classification

- Clustering

- Time Series Analysis

- Data Visualization

- Matplotlib

- Model Evaluation

- Business Problem Solving

- Strong Communication Skills

Good to Have :

- PyTorch

- TensorFlow

- XGBoost

- LightGBM

- NLP

- Generative AI

- Large Language Models (LLMs)

- Tableau

- Power BI

- Apache Spark

- Databricks

- Snowflake

- BigQuery

- AWS / Microsoft Azure / GCP

- MLflow

- Causal Inference

- Recommendation Systems

- Optimization

Educational Qualification :

- B.E./B.Tech

- M.Tech

- MCA

- M.Sc. (Computer Science, Information Technology, Artificial Intelligence, Data Science)

- Or equivalent practical experience.