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Data Scientist III

Company: LexisNexis Risk Solutions
Location: San Diego
Posted on: February 22, 2021

Job Description:

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 III 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) credit, 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:

  • 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 machine learning models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production scoring 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 and/or results to stakeholders, including those in non-analytic roles
  • Conduct analysis and produce reports in support of 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
  • Provide support to other senior data scientists across the organization
  • Critical reviews of data experiments to ensure accuracy, completeness, and feasibility
  • Identifying and deploying new algorithms or combinations of algorithms in creative ways to achieve performance improvement
  • Devising new approaches to solve difficult statistical modeling problems. This includes new model concepts and designs, such as different targets and objective functions, and new or different uses of data sources.
  • Other duties as assigned Required Qualifications:
    • Bachelor's degree in statistics, data science, mathematics or quantitative methods (or equivalent years' experience) and at least 4 years of relevant work experience
    • At least two years of experience using machine learning to Experience building predictive models oandr conducting data analysis using R, Python or similar software packages.
    • Strong mathematical and statistics skills
    • Knowledge of statistical analysis methodologies and in particular machine learning.Demonstrate competencies in relevant Data Science frameworks. Able to apply Machine Learning methods to build advanced models. Able to roll into production with senior guidance.
    • At least two years of experience with mainstream programming languages, such as Java, Python, and/or Scala, in a collaborative environment using software development best practices such as version control and testing.
    • 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
    • Strong interpersonal and communication skills (both written and oral):
    • Ability to communicate complex technical or statistical concepts to a non-technical audience.
    • Work as part of a team and collaborate with colleagues while maintaining highest levels of respect and positive team spirit.--
    • Establish and maintain cooperative working relationships with colleagues at all times. Preferred Qualifications:
      • Master's degree in statistics, data science, mathematics or quantitative methods and 2+ years of relevant work experience. Or a PhD in a relevant field
      • Credit risk management industry experience in developing scoring models will be a strong plus for this position. Identity Fraud industry experience is a strong plus also
      • Experience working with Big Data Technologies and applying large scale machine learning techniques within these technologies.
      • Demonstrated ability to apply modern data exploration and visualization techniques to deliver actionable insights.
      • Experience with version control through Git
      • Experience with Unix/Linux system architecture and command line tools
      • 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! Lexis Nexis Risk Solutions, is 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 accommodations@relx.com. 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 accommodations@relx.com . LexisNexis-- Risk Solutions Group (RSG), a portfolio of brands that span multiple industries providing customers with innovative technologies, information-based analytics and decision tools and data services that provide market-specific solutions. Approximately 8,700 employees in offices throughout the world support RSG brands by serving customers in more than 180 countries. RSG is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com/group and www.relx.com .

Keywords: LexisNexis Risk Solutions, San Diego , Data Scientist III, Other , San Diego, California

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