Job Description

Summary

BitGo is looking for a Data Scientist who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.

Responsibilities:

  1. Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
  2. Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
  3. Work collaboratively with cross-functional teams to implement solutions driven by business requirements
  4. Develop and automate reporting of key performance indicators of various BitGo’s products and services at scale
  5. Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
  6. Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines 
  7. Be a data evangelist and help BitGo improve its products and services
  8. Coordinate with stakeholders in the US and other global locations. This potentially involves taking calls in the PST/ EST timezone to keep in sync with your geographically distributed team.

Skills & Experience:

  1. 2+ years industry experience in data analytics field 
  2. Advanced knowledge of SQL, scripting languages and database concepts
  3. The ability to clearly communicate complex results to technical and non-technical audiences
  4. Knowledge of Basic Statistics required
  5. Experience with Google Analytics / Hubspot / SEM will be a plus
  6. Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
  7. Familiarity with data warehouse development and best practices
  8. The versatility and willingness to learn new technologies on the job such as DBT , Airflow
  9. BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field

Skills
  • Analytical Thinking
  • Database Management
  • Google Analytics
  • SQL
  • Team Collaboration
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