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Data Scientist

3 - 5 years

0 Lacs

Noida Uttar Pradesh India

Posted:22 hours ago| Platform: Linkedin logo

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Skills Required

data analyze learning support analysis integrity sql extract design regression algorithms engineering model metrics programming development automation python etl code documentation writing joins database optimization visualization ml evaluation statistics testing aws gcp azure containerization deployment pyspark

Work Mode

On-site

Job Type

Full Time

Job Description

Data Scientist Job Description Position: Data Scientist Experience Level: [Junior/Mid-level] - 3-5 years 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 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 Show more Show less

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