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 good 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.
