RELX Group Data Scientist in Minneapolis, Minnesota
LexisNexis Risk Solutions
We develop industry-leading compliance solutions to help customers fight financial crimes and stay abreast of anti-money laundering, anti-bribery and corruption, and countering financing of terrorism legislations. LexisNexis Risk Solutions cares about our world and we would love for you to join our team if you want to help solve meaningful problems too.
Data Scientist - Associate
Opportunity to join a vibrant, collaborative team as an entry level statistical modeler conducting statistical analysis and building predictive models for a variety of uses and markets, including credit, fraud, telecommunication, retail, government and business. 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 continually expand your expertise.
Assemble, merge and parse large amounts of data to detect meaningful trends and patterns
Explore opportunities to enhance existing data with new features or evaluate new data sources to improve product solutions
Develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production code.
Consult with internal and external clients regarding analytic solution implementation, score calculations, analytic output, and statistical techniques
Interpret, document and successfully communicate analytic work, requirements, and/or results to stakeholders, including those in non-analytic roles
Conduct analysis and produce reports in support of both existing and new product development and/or customer sales
Understand and execute analytic plans with the appropriate statistical or modeling technique
Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions
Bachelor’s degree in statistics, data science, mathematics or quantitative methods (or equivalent years’ experience)
1-2 years’ experience building predictive models or conducting data analysis using R, SAS or similar software package.
Knowledge of statistical analysis methodologies and in particular machine learning.
Experience with R, Python or similar software packages
Experience with data manipulation techniques
High degree of creative, analytical and problem-solving skills
Ability to learn quickly and communicate effectively
Ability to work effectively both independently and collaboratively
Willingness to adapt to new techniques and an innovative attitude towards finding solutions
Fluency with presentation and document programs such as PowerPoint, Word, Excel
Experience with multi-node computing platforms like Hadoop
Experience with version control through Git
Master’s degree in statistics, data science, mathematics or quantitative methods
Proficient in using R Markdown, or Shiny.
Experience developing tools to aid in data science endeavors
Our team members are dedicated individuals striving to provide our clients with innovative solutions to their very real problems. If you are looking to be a member of a team providing world-class analytics and data-driven solutions for our partners and customers, we welcome you to apply!
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. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or email@example.com.
Risk & Business Analytics (RBA) provides customers with innovative solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk while enhancing operational efficiency through eight unique brands. RBA is a market segment of RELX and has more than 8,500 employees serving customers in over 180 countries. RBA’s eight brands include: LexisNexis Risk Solutions, Accuity, Proagrica, ICIS, Cirium, XpertHR, Nextens, and EG.
- RELX Group Jobs