The company is looking to build data pipelines to equip data science teams with the right information to inform excellent user experience and influence business and product strategy.
Requirements
- 3+ years of experience building and optimizing data pipelines, architecture and data sets
- 2+ years of experience with AWS cloud services: EC2, EMR, RDS, Redshift
- 2+ years of experience with object-oriented/object functioning scripting languages: Python, Java, C++, Scala etc.
- 2+ years of industry experience in analytics focused on enhancing products and driving innovation
- Experience with front-end and/or mobile application development
- Strong analytic skills related to working with unstructured and structured datasets
- Experience with data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence
Responsibilities
- Active management of big data sets - lakes, warehouses, spark
- Develop models of usage and user behavior through analysis of complex data from a variety of sources
- Build datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence
- Analyze systems, review data models, develop transformations, and document the specifications
- Develop and deliver key UX metrics and partner with research to provide actionable insights to improve the user experience
- Effectively communicate through user documentation, commented code, and interactions with collaborators and adjacent teams
- Play a role in enabling data science and user research to influence business and product strategy
Other
- Bachelor’s degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field
- Creative thinker able to apply first-principles reasoning to solve complex problems
- Passion for quality and productivity
- Ability to effectively communicate through user documentation, commented code, and interactions with collaborators and adjacent teams
- Flexibility to work at least half (50%) of the time each quarter in the office or in the field with customers, prospects, and partners
