JD for Data sciennce

Day to Day Operations

• Perform exploratory data analysis to achieve a better understanding of the business problem as well as to discover untapped areas of growth and optimization

• Propose solutions and strategies to business challenges and act as a technical advisor to the business teams

• Advocate business team on what analytic features and functions are possible with current data assets and/or what must occur to advance the use of data in the digital products.

• Proactively investigate new technologies and algorithms to follow the best and state-of-the-art industry practices

• Drive data science and analytics development activities

• Be responsible for planning and timely delivery of ML and DL Modules

• Contribute to the team’s research activities

• Mentor less experienced Data Scientists and act as an influential SME

Ai/ML

• Build pipelines

• Develop and integrate algorithms/packages into the platform

• Add new ML models to the SAAL platform marketplace

• Develop customer-centric AI/GenAI solutions

• Develop, train, and deploy machine learning models using Dataiku

• Own the full development cycle - from concept, through research, design, implementation, and deploying to production

Technology Stack

• Machine Learning & Deep Learning

o Python

o Scikit-learn

o TensorFlow

o PyTorch

• Natural Language Processing (NLP)

o Hugging Face Transformers

o spaCy

o Gensim

• Database & Data Handling

o SQL

o Pandas

o Apache Spark

• Visualization & Collaboration

o Matplotlib/Seaborn

o Jupyter Notebooks

o Git/GitHub/GitLab

• Large Language Models (LLMs)

o Experience in offline deployment for Q&A on structured data

• Deployment

o AWS/GCP/Azure

o Docker

o Mlflow

o Dataiku