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Exploratory Data Analysis Jobs In Minnesota - 10 Job Positions Available

1 – 7 of 10 jobs
UnitedHealth Group jobs

UnitedHealth Group is a health care and well-being company thats dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build

UnitedHealth Group  13 days ago
Ameriprise Financial Services jobs

About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than

Ameriprise Financial Services  24 days ago
Dayforce jobs

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud

Dayforce  5 days ago

Job Description POSITION SUMMARY: NMDP is looking for a Senior Data Scientist to join our Data Science & Insights team. This role will report to the Sr. Manager, Data Science & Insights and will be instrumental in supporting the

Be The Match  19 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software

MAXIMUS  17 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software

MAXIMUS  17 days ago
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MAXIMUS jobs

Essential Duties and Responsibilities Accountabilities 1. Analyse programme, operational and external datasets to generate insight that supports policy development, consultation responses and commissioner engagement. 2. Apply exploratory data analysis, statistical modelling and predictive techniques to understand trends, outcomes and

MAXIMUS  20 days ago

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