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Danta Technologies

Senior Data Scientist

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Description

Senior Data Scientist - ML, Python

Location- Remote

Payrate- $45/hr on W2

Job Summary

Responsible for developing and deploying data science and machine-learning solutions, including data exploration, feature engineering, model development, validation, and productionization.

Mandatory skills: Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and experience working with cloud-based data/analytics platforms.

Key Responsibilities

Responsible for developing and deploying data science and machine-learning solutions, including data exploration, feature engineering, model development, validation, and productionization.

Mandatory skills: Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and experience working with cloud-based data/analytics platforms.

Skill Requirements

Responsible for developing and deploying data science and machine-learning solutions, including data exploration, feature engineering, model development, validation, and productionization.

Mandatory skills: Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and experience working with cloud-based data/analytics platforms.

_Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

__Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

_The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

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