Lead Data Scientist

Job Requirements

(Purpose: why this

role exists?)

We are seeking a highly motivated and skilled Data Scientist to join our team and

contribute to the development and deployment of ML/AI/GenAI pipelines within the

AWS cloud environment. This role will involve both data science and Python

development responsibilities. The ideal candidate will possess a strong foundation

in data science principles and GenAI, experience with AWS, and proficiency in

Python programming.

Essential

Responsibilities /

Expectations

Pipeline Development and Execution: Develop, deploy, and maintain

robust ML/AI/GenAI pipelines within the AWS ecosystem. This includes

data preprocessing, model training, evaluation, and deployment.

Cloud Computing: Utilize AWS services (e.g., SageMaker, Lambda, S3,

EC2) to build and optimize data pipelines and model deployments.

Python Development: Write clean, efficient, and well-documented Python

code for data manipulation, model development, and pipeline automation.

Data Analysis and Exploration: Conduct exploratory data analysis to

understand data characteristics, identify patterns, and inform model

selection.

Model Training and Evaluation: Train and evaluate various machine

learning and deep learning models, selecting the best performing models

based on business requirements.

Collaboration: Work collaboratively with Technology Team and other Data

Scientists to integrate solutions into existing workflows and systems.

Continuous Learning: Stay up-to-date with the latest advancements in

AI/ML/GenAI and cloud computing technologies.

Documentation: Maintain clear and comprehensive documentation of

pipelines, models, and code.

Mentor and guide junior data scientists within the team, fostering a

collaborative and learning environment

Educational

Qualification

Master's degree in Computer Science, Data Science, Statistics, or

related field

Experience

Required (Min –

Max year)

5-6 years of experience in data science and 2-3 years of experience in

GenAI technology.

Strong expertise in LLM, deep learning, machine learning algorithms

(e.g., supervised learning, unsupervised learning, reinforcement learning)

and statistical modelling.

Proficiency in programming languages such as Python

Familiarity in developing and deploying E2E AI solutions in cloud

platforms (AWS)

Hands-on Experience with building and deploying ChatBot AI assistants

using the RAG framework.

Good working knowledge of AI Agents and Agentic AI framework

Should be proficient in using AI enabled coding tools e.g. github copilot,

etc.

Familiarity with version control systems (e.g., Git, Gitlab).

A strong desire to learn and contribute to a fast-paced, innovative

environment.

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Ability to work in an Agile development environment

Desired Skills Experience with GenAI, Data Science, Python, AWS, JIRA, Agile

Passion for the environment

Self learner