Senior Data Scientist

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in statistics, computer science, engineering, mathematics, or actuarial science., Experience in data manipulation, cleansing, and relational databases., Strong communication skills in English and Portuguese, with the ability to convey technical results to non-technical audiences., Ability to work collaboratively and learn quickly..

Key responsabilities:

  • Conduct data handling and quality analyses for assigned business areas.
  • Perform data analysis and develop solutions to improve processes and systems.
  • Summarize and present analytic work to both internal and external clients.
  • Collaborate with teams to collect, match, and consolidate data.

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RELX Information Technology & Services XLarge https://www.relx.com/
10001 Employees
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Job description

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. 

 

Qualifications: 

  • Bachelor’s degree in statistics, computer science, engineering, mathematics, or actuarial science. 
  • Experience in data manipulation, cleansing, useof relational databases and modelling. 
  • Ability to learn quickly, work with a team, and communicate effectively. 
  • Advanced English and fluent in Portuguese. 
  • Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences.
  • Provide Customer Support for clients in APAC and EMEA .

 

Pluses: 

  • Experience in creating attributes for statistical modeling. 
  • Experience in modelling projects in the risk/fraud fields. 
  • Experience in managing data analysis projects. 
  • Experience in programming language and system to execute parallel processes. 

 

Accountabilities: 

  • 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. 

#LI-VG1

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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Experience

Industry :
Information Technology & Services
Spoken language(s):
EnglishPortuguese
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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