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. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com

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 amount 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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The salary range provided in this posting is the base salary range for Minnesota:$75,700.00 - $126,100.00

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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