Data Scientist

• Company LexisNexis Risk Solutions Group
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

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 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
   

Required Qualifications:

• 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
   

Preferred Qualifications:

• 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