Data Scientist

Xoriant

3 - 8 years

5 - 10 Lacs

Mumbai Hyderabad Pune

Posted:2 days ago| Platform:

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Skills Required

Engineering services Computer science Data analysis Analytical Machine learning Predictive modeling Open source SQL Python Predictive maintenance

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are eagerly seeking candidates with 3 to 12 years’ experience for a Data Scientist to join our dynamic team. The ideal candidate will play a pivotal role in data analysis, statistical modeling, and machine learning to extract valuable insights from data

Role: Data Scientist
Location: Pune/Hyderabad/Mumbai
Experience: 3 to 12 years
Job type: Full time
Work type: Hybrid

Impact you will realize: Job Responsibilities

Individuals will be responsible for leveraging their expertise in data analysis, statistical modeling, and machine learning to extract valuable insights from data
Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL.
Develop solutions using Machine Learning and Generative AI
Develop and apply statistical models to gain insights and make predictions based on historical data.
Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc.
Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization.
Deploy machine learning models into production systems and make necessary updates or improvements.
Ensure data privacy and compliance with relevant regulations
Documentation of analytical methods, data pipelines, and model workflows

Key skills you will require:

Primary Skills

Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL.
Develop solutions using Machine Learning and Generative AI
Develop and apply statistical models to gain insights and make predictions based on historical data.
Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc.
Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization.
Deploy machine learning models into production systems and make necessary updates or improvements.
Ensure data privacy and compliance with relevant regulations
Documentation of analytical methods, data pipelines, and model workflows

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