Minimum 5 years of hands-on experience in end-to-end model development.
Hands-on experience with machine learning models for classification and regression.
At least 5 years of experience processing and analyzing large-scale tabular datasets.
Proven hands-on Python development experience.
Strong experience in data analysis and data preparation for models.

Ключевые требования

Minimum 5 years of hands-on experience in end-to-end model development.
Hands-on experience with machine learning models for classification and regression.
At least 5 years of experience processing and analyzing large-scale tabular datasets.
Proven hands-on Python development experience.
Strong experience in data analysis and data preparation for models.

Вакансии в abra professional services

Открытые роли в этой компании — 1 в каталоге JobMatcher.

Все вакансии компании

Вакансии в abra professional services

Открытые роли в этой компании — 1 в каталоге JobMatcher.

Все вакансии компании

About the role

abra professional services is seeking a Data Scientist to join our model development team and lead enterprise-wide AI and machine learning initiatives across business domains. The ideal candidate will have hands-on experience with end-to-end model development, classic machine learning, classification and regression models, tabular data, data analysis, and Python, and be able to translate business requirements into technical and analytical solutions. This is a full-time hybrid position based in Wheaton, Illinois, United States, with one day per week remote.

Key responsibilities: - Design, develop, and deploy machine learning models on AWS-based infrastructure. - Derive actionable insights from data using advanced analytical tools and AI technologies. - Define algorithmic solutions to address complex business challenges. - Analyze structured and unstructured data from diverse sources. - Present analytical findings and strategic business insights to stakeholders. - Evaluate and measure model performance and effectiveness.

Requirements

Minimum 5 years of hands-on experience in end-to-end model development.
Hands-on experience with machine learning models for classification and regression.
At least 5 years of experience processing and analyzing large-scale tabular datasets.
Proven hands-on Python development experience.
Strong experience in data analysis and data preparation for models.
Strong experience in the data domain.
Strong analytical and problem-solving skills, with the ability to translate business requirements into robust technical and analytical solut

About the role

abra professional services is seeking a Data Scientist to join our model development team and lead enterprise-wide AI and machine learning initiatives across business domains. The ideal candidate will have hands-on experience with end-to-end model development, classic machine learning, classification and regression models, tabular data, data analysis, and Python, and be able to translate business requirements into technical and analytical solutions. This is a full-time hybrid position based in Wheaton, Illinois, United States, with one day per week remote.

Key responsibilities: - Design, develop, and deploy machine learning models on AWS-based infrastructure. - Derive actionable insights from data using advanced analytical tools and AI technologies. - Define algorithmic solutions to address complex business challenges. - Analyze structured and unstructured data from diverse sources. - Present analytical findings and strategic business insights to stakeholders. - Evaluate and measure model performance and effectiveness.

Requirements

Minimum 5 years of hands-on experience in end-to-end model development.
Hands-on experience with machine learning models for classification and regression.
At least 5 years of experience processing and analyzing large-scale tabular datasets.
Proven hands-on Python development experience.
Strong experience in data analysis and data preparation for models.
Strong experience in the data domain.
Strong analytical and problem-solving skills, with the ability to translate business requirements into robust technical and analytical solut

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