Primary Skills :Cloud (AWS, Azure, GCP), Python, GenAI, Keras, TensorFlow, scikit-learn, XGBoost, Neural Networks, Apache Pyspark, Random Forest model, Machine Learning, AI / ML, PyTorch, SQL

Requirements:

Must have skills for Lead Data Scientist role:

Python – 2+ years

Panda - 2+ Years

Must have led one end to end project

Must have customer facing experience

This person will manage a project as a Tech Lead.

Must have experience working on ML Algorithm’s including - Random Forest, XGBoost and Neural networks

Must have Frameworks:

Scikit Learn

Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow

Candidate must have worked on atleast 1 end to end machine learning project

Basic SQL is Mand

Job Description

Position: Lead Data Scientist

Experience Level: 3 - 5 years

Job Summary:

We are seeking a Sr. Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions.

Key Responsibilities

Data Analysis & Exploration

· Perform comprehensive exploratory data analysis (EDA) on large datasets.

· Identify patterns, trends, and anomalies in data.

· Conduct statistical analysis to validate business hypotheses.

· Create data visualizations to communicate findings effectively.

· Assess and ensure data quality and integrity.

· Write complex SQL queries to extract and manipulate data

Machine Learning & Modeling





· Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc)

· Implement supervised and unsupervised learning algorithms

· Perform feature engineering and selection

· Evaluate model performance using appropriate metrics

· Deploy and monitor machine learning models in production

Programming & Development

· Develop data analysis scripts and automation tools using Python

· Build data pipelines and ETL processes

· Create reusable code libraries and functions

· Maintain version control and documentation standards

Required Qualifications

Technical Skills

· SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization

· Python: Strong programming skills in Python for data analysis and machine learning

· Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization

· Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques

· Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design

· Knowledge of any cloud like AWS, GCP or Azure is valuable to have

· Familiarity with version control systems

· Experience with containerization and deployment tools

Good to Have:-

· Worked on GenAI based Projects

· Using GenAI for driving productivity in your work.

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