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Data Scientist

Data Scientist

LUMIQ

0 years

0 Lacs

Noida Uttar Pradesh India

Posted:1 week ago| Platform:

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Skills Required

data analyze learning support analysis sql extract design regression engineering model programming automation etl code documentation writing joins database python ml algorithms evaluation testing aws gcp azure xgboost containerization deployment pyspark pytorch

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

We are seeking a 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
Must have experience working on ML Algorithm’s including -
Random Forest, XGBoost and Neural networks.
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 Frameworks:

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

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