RELX

Data Scientist II

RELX

full-time

Posted on:

Location Type: Office

Location: MinnesotaUnited States

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Salary

💰 $71,600 - $119,400 per year

Job Level

About the role

  • 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.
  • Provide support to other data scientists across the organization.
  • Critical reviews of data experiments to ensure accuracy, completeness, and feasibility.

Requirements

  • Master’s degree in statistics, data science, mathematics or quantitative methods.
  • 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.
  • At least one year of experience building predictive models using machine learning and conducting data analysis using Python, R, SQL or similar software packages.
  • At least one year of experience with mainstream programming languages, such as Python, R, Java, 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 and 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.
Benefits
  • This job is eligible for an annual incentive bonus.
  • We are delighted to offer country specific benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdata analysispredictive modelingstatistical methodsdata science frameworksPythonRSQLJavaScala
Soft skills
analytical skillsproblem-solving skillscommunication skillscreativitycollaborationindependenceability to learn quickly
Certifications
Master’s degree in statisticsMaster’s degree in data scienceMaster’s degree in mathematicsMaster’s degree in quantitative methods