Job Description
Summary
We are looking for a strong data scientist to help us fulfill this mission by collaborating with a global team of data scientists and software engineers.
Description
The ideal candidate is a highly motivated, collaborative, and proactive individual who can communicate effectively and can adapt and learn quickly.
Minimum Qualifications
- Expert at translating ambiguous business problems into technical solutions by working with business partners to design, develop and deploy data science solutions that drive key product decisions
- Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
- Self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment
- Experienced in building and maintaining large-scale ETL/ELT pipelines that are optimized for performance and can handle data from various sources, structured or unstructured.
- Proven expertise in developing data visualizations & reporting. Ex: Tableau, Superset, Qlickview, etc
- Proficiency in data science, machine learning and statistical data analysis
Preferred Qualifications
- >5 years of relevant work experience in Data Science / Analytics
- Degree in computer science, economics, business analytics, data science, statistics or related field
- * A strong sense of data ownership, being willing to guarantee data quality even if it originates from sources you don’t directly control
- * Outstanding ability to communicate, simplify problems, and drive towards a solution
- * Ability to thrive in a complex and constantly changing environment.
- * Outstanding ability for cross-functional collaboration and driving large-scale projects
- Ability to work on both internal data emanating from engineering systems, and very large-scale data emanating from devices
- Capacity to translate business requirements into technical solutions.
- Experienced in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.
- Good time management skills and can incrementally deliver to tight schedules.
- (plus but not required) Understanding of ML Processes, Engineering systems, Developer Operations, and Software CI/CD