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Data Scientist – AIML & Advanced Analytics
Job Location:
Job Location:
Minnetonka, MN - USA
Hourly Salary:
USD 55 - 60
Hourly Salary:
Posted:
9 October 2026 (Yesterday)
Posted:
Application Deadline:
6 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title: Data Scientist AI/ML & Advanced Analytics
Location: Minnetonka Mills MN/ Remote
Duration: 6 months
Payrange: $55-60/hr C2C
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.
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: Minnetonka Mills MN/ Remote
Duration: 6 months
Payrange: $55-60/hr C2C
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.
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
