Employer: LexisNexis Risk Solutions
Location: Minneapolis, Minnesota, United States of America
Salary: Competitive
Closing date: 7 Nov 2024
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. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
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. We work alongside the broader Analytic team as well as Sales, Marketing, Product, and Market Planning to share our research with clients and the broader industry.
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 the 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.
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