LexisNexis Risk Solutions
Data Scientist III (HYBRID-Minneapolis)
LexisNexis Risk Solutions, Minneapolis, Minnesota, United States, 55400
Data, Research & Analytics
Data Scientist III (HYBRID-Minneapolis)
Location: Minneapolis, Minnesota, United States of America Contract Type: Regular Schedule: 40 Job ID: R87066 Data Scientist III Are you looking to develop your Data Scientist experience? Do you love collaborating with teams to solve complex problems and deliver solutions? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. About our Team The Data Scientist III will be joining the Information Hub which is part of the broader LexisNexis Risk Solutions Global Products and Analytics Team. In this role, they will illuminate the power of LNRS solutions through clear and compelling stories that empower the LNRS brand, products, capabilities, and services. About the Role As a Data Scientist III, you will conduct statistical analysis and build predictive models for a variety of performance outcomes. The incumbent will have a firm understanding of data mining, statistical methods, and multiple modeling scoring techniques. You will be responsible for: Assembling, merging and parsing large amounts of data to detect meaningful trends and patterns. Developing and implementing machine learning models and algorithms to solve complex business problems. Interpreting, documenting and successfully communicating analytic work and/or results to stakeholders, including those in non-analytic roles. Analyzing and mining large amounts of data using multiple analytic stacks such as R, Python, SAS, SQL etc. Creating and providing analysis code and working with internal or external stakeholders to validate accuracy of production scoring code. Performing all other duties as assigned. Qualifications: Have at minimum undergraduate in relevant field and 4+ relevant work experience. Or a master in a relevant field and 2+ of relevant work experience. Have knowledge of statistical analysis methodologies and in particular exposure to SAS or similar software package. Have fluency with presentation and document programs such as PowerPoint, Word, Excel. Have experience working with Big Data Technologies and applying large scale Machine Learning techniques within these technologies. Have experience in building predictive models using Python, R or similar software package. Learn more about the LexisNexis Risk team and how we work here.
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Location: Minneapolis, Minnesota, United States of America Contract Type: Regular Schedule: 40 Job ID: R87066 Data Scientist III Are you looking to develop your Data Scientist experience? Do you love collaborating with teams to solve complex problems and deliver solutions? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. About our Team The Data Scientist III will be joining the Information Hub which is part of the broader LexisNexis Risk Solutions Global Products and Analytics Team. In this role, they will illuminate the power of LNRS solutions through clear and compelling stories that empower the LNRS brand, products, capabilities, and services. About the Role As a Data Scientist III, you will conduct statistical analysis and build predictive models for a variety of performance outcomes. The incumbent will have a firm understanding of data mining, statistical methods, and multiple modeling scoring techniques. You will be responsible for: Assembling, merging and parsing large amounts of data to detect meaningful trends and patterns. Developing and implementing machine learning models and algorithms to solve complex business problems. Interpreting, documenting and successfully communicating analytic work and/or results to stakeholders, including those in non-analytic roles. Analyzing and mining large amounts of data using multiple analytic stacks such as R, Python, SAS, SQL etc. Creating and providing analysis code and working with internal or external stakeholders to validate accuracy of production scoring code. Performing all other duties as assigned. Qualifications: Have at minimum undergraduate in relevant field and 4+ relevant work experience. Or a master in a relevant field and 2+ of relevant work experience. Have knowledge of statistical analysis methodologies and in particular exposure to SAS or similar software package. Have fluency with presentation and document programs such as PowerPoint, Word, Excel. Have experience working with Big Data Technologies and applying large scale Machine Learning techniques within these technologies. Have experience in building predictive models using Python, R or similar software package. Learn more about the LexisNexis Risk team and how we work here.
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