Data Scientist III

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, https://risk.lexisnexis.com About the

Role:

Opportunity to join a vibrant, collaborative team as a data scientist conducting statistical analysis and building predictive models for a variety of performance outcomes such as fraud and credit risk for one or more industries including (but not limited to) consumer and small business lending, telecommunication, retail, and e-commerce. You would be expected to have a firm understanding of data mining, statistical methods and multiple modeling techniques. As part of the team you would be tasked with finding innovative ways to produce solutions to serve our customers and to continually expand your expertise.

Responsibilities:

+ Understand and execute analytic plans with the appropriate statistical or modeling technique. + Conduct analyses supporting existing and new product development or customer sales opportunities. + Assemble, merge and parse large amounts of data to detect meaningful trends and patterns. + Explore opportunities to enhance existing products with new features or new data sources. + Develop machine learning models, create model code, and work with internal or external stakeholders to validate accuracy of production code. + Interpret, document, and communicate analytic work to non-technical audiences. + Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions. + Collaborate with cross-functional peers to define product and data science strategies. + Provide support to other data scientists across the organization. + Critical reviews of data experiments to ensure accuracy, completeness, and feasibility. + Other duties as assigned.

Hybrid Position Required Qualifications:

+ Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience. + At least two years of experience building predictive models using machine learning and conducting data analysis using R, Python or similar software packages. + At least two years of experience with mainstream programming languages, such as Java, R, Python, or Scala, in a collaborative environment using software development best practices such as version control and testing. + Superior knowledge of data science frameworks, statistical methods and advanced machine learning techniques. + High degree of creative, analytical and problem-solving skills. + Ability to learn quickly. + Ability to work effectively both independently and collaboratively. + Ability to communicate complex technical or statistical concepts to a non-technical audience. + Ability to apply modern data exploration and visualization techniques to deliver actionable insights. + Willingness to adapt to new techniques and an innovative attitude towards finding solutions. + Fluency with presentation and document programs such as PowerPoint, Word, Excel.

Preferred Qualifications:

+ Master's degree in statistics, data science, mathematics or quantitative methods and at least two years of relevant work experience. + Experience with big data technologies and applying large scale machine learning techniques. + Experience with version control through GitHub. + Experience with Unix/Linux system architecture and command line tools. + Experience in credit or fraud risk management industry. U.S.

National Base Pay Range:

$78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here (https://www.relx.com/careers/join-us/benefits) to access benefits specific to your location. 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 or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. 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.

USA Job Seekers:

EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.