Senior Data Scientist (Remote)
RELX INC
Are you looking to develop your Data Scientist career?
Would you enjoy training more junior team members?
About the Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at the link below.
Job Description:
This position exists to conduct data handling and quality analyses. The seniority will be set ranging from mid-level of an associate to senior depending on the university degrees, experience of the applicant in data mining, data analyses, lead/provide tactical direction and oversight of project team's work, etc.
LexisNexis Risk Solutions is the trusted data analytics provider for organizations seeking actionable insights to manage risks and improve results. Our Risk Business Analytics family contains over 100 data scientists in fast-paced environment. We are innovators, passionate about challenging the status quo, and improving outcomes.
* This is a fully remote position
Responsibilities
+ Works across business/teams to collect, match, and consolidate data.
+ Perform data analysis for assigned business including design and development of solutions.
+ Make process and/or system improvement recommendations to assist the business in achieving its goals and objectives.
+ Clearly summarize, document, and communicate/present analytic work and/or results to internal and external clients, and analytic and non-analytic stakeholders.
+ Create attributes, optimize code and data mine in a LexisNexis Risk Solutions programming language and system (HPCC/ECL) for clusters.
Requirements
+ Created attributes for statistical modeling.
+ Analyzed and modeled for projects in the risk/fraud fields.
+ Managed data analysis projects.
+ Worked with a programming language and system to execute parallel processes.
+ Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences.
+ Experience in data manipulation, cleansing and use/creation of relational databases.
+ Ability to learn quickly, work with a team, and communicate effectively.
+ Advanced English and fluent in Portuguese.
Preferred Qualification
+ Bachelor’s degree in statistics, computer science, engineering, mathematics, or actuarial science.
Learn more about the LexisNexis Risk team and how we work (https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000)
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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.
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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.
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