
Lead Data Scientist
2 weeks ago
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 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 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.
- Knowledge of PySpark is a plus
Must have skills :
- 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 Algorithms including - Random Forest, XGBoost and Neural networks
Must have Frameworks :
- Scikit Learn
- Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow
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