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AI Data Scientist
Job Location:
Job Location:
Minneapolis, MN - USA
Yearly Salary:
USD 110000 - 120000
Yearly Salary:
Posted:
11 October 2026 (13 hours ago)
Posted:
Application Deadline:
8 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title: AI Data Scientist
Location: Minneapolis MN- Day 1 Onsite
Duration: Full Time/Permanent Role
Salary Range: $110000-$120000 Per Year Benefits
Must Have Technical/Functional Skills
We are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics Artificial Intelligence (AI) and Machine Learning (ML).
This role focuses on discovering actionable insights from complex datasets developing predictive models identifying Eligible to workimization opportunities and supporting data-driven decision making acrossthe enterprise.
The ideal candidate applies analytical thinking and translates business challenges into data-driven solutions that deliver measurable outcomes.
The successful candidate will leverage statistical analysis machine learning predictive modeling and AI techniques to identify patterns Eligible to workimize processes and enable smarter business decisions.
Key Responsibilities
Analyze structured and unstructured datasets to identify trends opportunities and business insights.
Develop and deploy predictive classification clustering and Eligible to workimization models.
Apply machine learning statistical analysis and AI techniques to solve business problems.
Identify hidden patterns and relationships within complex datasets.
Support experimentation hypothesis testing and model validation activities.
Partner with business operations and technology teams to define analytical requirements and solutions.
Translate business challenges into data science use cases and analytical frameworks.
Generate insights and recommendations that improve operational performance and business outcomes.
Develop reusable analytical assets models and reporting frameworks.
Utilize AI/ML techniques including predictive analytics anomaly detection recommendation systems NLP and generative AI where appropriate.
Monitor and evaluate model performance and recommend enhancements.
Present analytical findings and business insights to stakeholders.
Contribute to data science best practices and continuous improvement initiatives.
Required Qualifications
Bachelors degree in Data Science Statistics Mathematics Computer Science Engineering Economics or a related quantitative discipline.
3 years of experience in Data Science Machine Learning AI or Advanced Analytics.
Strong foundation in statistics predictive modeling and machine learning.
Experience working with large-scale datasets.
Proficiency in Python SQL R or similar analytical languages.
Experience with ML frameworks such as Scikit-learn TensorFlow PyTorch XGBoost or equivalent.
Knowledge of data visualization and analytical storytelling.
Location: Minneapolis MN- Day 1 Onsite
Duration: Full Time/Permanent Role
Salary Range: $110000-$120000 Per Year Benefits
Must Have Technical/Functional Skills
We are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics Artificial Intelligence (AI) and Machine Learning (ML).
This role focuses on discovering actionable insights from complex datasets developing predictive models identifying Eligible to workimization opportunities and supporting data-driven decision making acrossthe enterprise.
The ideal candidate applies analytical thinking and translates business challenges into data-driven solutions that deliver measurable outcomes.
The successful candidate will leverage statistical analysis machine learning predictive modeling and AI techniques to identify patterns Eligible to workimize processes and enable smarter business decisions.
Key Responsibilities
Analyze structured and unstructured datasets to identify trends opportunities and business insights.
Develop and deploy predictive classification clustering and Eligible to workimization models.
Apply machine learning statistical analysis and AI techniques to solve business problems.
Identify hidden patterns and relationships within complex datasets.
Support experimentation hypothesis testing and model validation activities.
Partner with business operations and technology teams to define analytical requirements and solutions.
Translate business challenges into data science use cases and analytical frameworks.
Generate insights and recommendations that improve operational performance and business outcomes.
Develop reusable analytical assets models and reporting frameworks.
Utilize AI/ML techniques including predictive analytics anomaly detection recommendation systems NLP and generative AI where appropriate.
Monitor and evaluate model performance and recommend enhancements.
Present analytical findings and business insights to stakeholders.
Contribute to data science best practices and continuous improvement initiatives.
Required Qualifications
Bachelors degree in Data Science Statistics Mathematics Computer Science Engineering Economics or a related quantitative discipline.
3 years of experience in Data Science Machine Learning AI or Advanced Analytics.
Strong foundation in statistics predictive modeling and machine learning.
Experience working with large-scale datasets.
Proficiency in Python SQL R or similar analytical languages.
Experience with ML frameworks such as Scikit-learn TensorFlow PyTorch XGBoost or equivalent.
Knowledge of data visualization and analytical storytelling.
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Required Experience:
IC
