Data Scientist

Job Requirements

- 5+ years of strong experience in building & maintaining machine & deep learning models
- Experience in performing detailed exploratory data analysis (EDA) & having sound statistical knowledge
- Understanding of concepts related to algorithm and deep learning architectures
- Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis
- Analysis of structured and unstructured data from problem statement to model deployment & business impact using ML/DL/Gen AI
- Should be hands on AWS cloud services that includes VPC, EC2, S3, RDS, Redshift, Data

Pipeline, EMR, DynamoDB, DevOps, Lambda, Kinesis, DMS, SNS, SQS, Sage maker,

Apache Airflow, and EKS.

- Proficient in big data ingestion and streaming tools like Amazon Kinesis, Beam or Kafka.
- Experience in deploying models via APIs and on the edge devices in a secure manner.
- Positive Knowledge/Understanding of NoSQL data bases and hands on work experience in writing applications on NoSQL databases like Cassandra and MongoDB
- Good knowledge on various scripting languages like Linux/Unix shell scripting and

Python

- Good knowledge of Data warehousing concepts and ETL processes using Redshift &

SQL Server





- Experienced in using IDEs and Tools like GitHub, AWS Code Commit, Jupyter

Notebooks/Lab and Anaconda.
- Strong team player, ability to work independently and in a team as well, ability to adapt to a rapidly changing environment, commitment towards learning, & documentation skills
- Sound practical knowledge of statistical packages like – R & Python
- Creating data visualizations to effectively convey findings using Tableau.

Technical Skills

- Cloud Platform: AWS
- Generative AI/ Agentic AI
- Big Data: Python, Pytorch, Torch serve, Airflow, TensorFlow
- Databases: Redshift and SQL Server.
- Visualization: Tableau or Quick sight
- Languages: SQL, TensorFlow, Pytorch and Python
- Tools/IDE: Docker, Kubernetes, Airflow, Jupyter Notebooks/Labs and Anaconda
- Operating Systems: UNIX, LINUX
- AWS Services: EC2, Sage maker, RDS, Lambda, Redshift, S3, CloudWatch.
- Packages: MS Office Suite
- DevOps: AWS Code commit
- ML Ops
- Other Tools: Putty

Eng Background

Coding

Commented [SB1]: At least of 2

Commented [SB2]: Must have. Image/ Video analytics/ Deep learning.

Python package. AWS p.

- Commented [SB3]: Good to have

📌 Data Scientist (Halol)
🏢 QuestW
📍 Halol