BCForward India Technologies - Data Scientist - Python/PySpark

BCFORWARD INDIA TECHNOLOGIES PRIVATE LIMITED
Multiple Locations
6 - 10 Years

Posted on: 08/05/2025

Job Description

Job Summary :

We are seeking a highly skilled and experienced Data Scientist with expertise in AWS, Python, XGBoost, Databricks, Spark, and SQL to join our data science team.


As a Data Scientist, you will be responsible for developing and deploying machine learning models and working with large datasets to generate actionable insights. The ideal candidate will have a deep understanding of statistical modeling, machine learning algorithms, and cloud computing, combined with hands-on experience in using cutting-edge tools and technologies in data science.


Skills and Experiences required :

- AWS (Lambda, Glue, RCS, ECS, Data Pipeline, EMR), Databricks, Spark, PySpark, Python, SQL

- Python for Data Science (XGBoost, SciKit Learn, NLTK, SciPy, Shap, Prophet)

- Develop promotion and pricing algorithms with client team

- Maintain optimization application by detecting data drift, model retraining, enhancements

- Using python to build predictive models


Responsibilities :

- Design and implement machine learning models and algorithms, including supervised and unsupervised learning techniques, using Python, XGBoost, and other relevant frameworks.

- Develop and optimize data pipelines on AWS services (such as S3, Redshift, Lambda, EC2, SageMaker).

- Perform exploratory data analysis (EDA) and create meaningful data visualizations to support decision-making.

- Work with large-scale distributed computing frameworks like Apache Spark and Databricks for data processing and model training.

- Collaborate with cross-functional teams including product managers, engineers, and business stakeholders to understand requirements and deliver data-driven insights.

- Design, deploy, and maintain scalable machine learning models and pipelines in a cloud environment (AWS).

- Build and manage complex SQL queries and databases to extract, manipulate, and analyze data from structured and unstructured sources.


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