Job Description

Job Summary

We are seeking an experienced

Data Scientist

to join our dynamic analytics team. The ideal candidate will have a strong background in

Big Data ecosystems

,

AWS cloud services

,

machine learning (ML)

, and

Python programming

. You will be responsible for building and deploying scalable data-driven solutions that power strategic decisions and operational efficiencies.

Key Responsibilities

Design, develop, and implement advanced

AI/ML models

to solve business challenges and enhance products. Leverage

Big Data platforms

(e.g., Spark, Hadoop, EMR) to analyze large datasets in a distributed environment. Utilize

AWS services

such as S3, SageMaker, Lambda, Glue, Redshift, and Athena for data processing and model deployment. Write efficient and scalable

Python

code for data preprocessing, model training, and evaluation. Collaborate with cross-functional teams including data engineering, product management, and business stakeholders. Develop and maintain robust data pipelines and automated workflows. Monitor model performance and ensure the reliability, scalability, and security of deployed solutions. Stay up to date with the latest trends in AI/ML, Big Data, and cloud computing.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science or machine learning roles. Proficient in

Python

and libraries such as pandas, NumPy, scikit-learn, TensorFlow or PyTorch. Hands-on experience with

Big Data frameworks

(e.g., Apache Spark, Hadoop, Hive). Strong experience with

AWS cloud services

(especially SageMaker, EMR, Glue, Lambda, Redshift). Solid understanding of

statistical analysis

,

data mining

, and

machine learning techniques

.
Job Types: Full-time, Permanent

Pay: ₹733,167.10 - ?3,471,279.07 per year

Schedule:

Day shift Monday to Friday Morning shift
Work Location: On the road