Senior Data Scientist I
RELX · Alpharetta, GA · Yesterday
Engineering$95k–$159k/yrFull-time
About the role
This position conducts complex research, design, and attribute development assignments for a product with the Attributes team, Modeling, Technology, and Internal Customers. This position should have the ability to lead a project independently, from design to delivery, as well as mentor junior team members.
Responsibilities
- Lead Attribute development design meetings, as well as develop and maintain attributes using KEL from various data sources by working with Modelling, Technology, Product and Internal Customers.
- Validate the data readiness and mentor junior team members in understanding the high-level project design.
- Test attributes independently for quality, completeness and consistency through constant monitoring and auditing for project of high complexity, using required techniques and tools such as Python, ECL.
- Resolve complex issues as necessary and maintain up to date and accurate documentation of all attributes and attribute sets.
- Define and oversee development and enhancements to Attribute development application and ensure its proper operation.
- Maintain user guides and training materials for the application.
- Train internal customers as necessary on the development and use of new attributes.
- Mentor junior analysts on proper attribute creation methodologies and optimization techniques.
- Work with other programmers to ensure new attributes and models are implemented accurately in production environment.
- Keep Manager informed of latest progress through effective communication of status and next steps.
Requirements
- Experience leading complex data science or attribute development projects independently
- Strong programming skills in Python, ECL, R, or similar languages
- Experience working with large and diverse data sources
- Strong problem-solving skills and ability to resolve complex technical issues
- Experience mentoring or supporting junior team members
- Ability to communicate progress, status, and next steps effectively
- Familiarity with analytics workflows and production implementation processes
Risk benefit statement
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Benefits
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