Data Scientist, Product Analytics

cLabs is seeking a Data Scientist in Product analytics to join our Product team. As a Data Scientist partner you will be working with a world-class team, shape the way we think about data at cLabs and see your insights turned into product changes. You ideally have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

About us

• We are experienced startup founders and operators
• We are mission-driven with a big goal: to bring sound currency and property rights to those who need it most
• We are fast-paced and loosely-structured, with a number of offices and a growing team
• We are a full-stack solution i.e. we are building both blockchain protocols and the applications that deliver end-user experiences on top of them
• We are highly technical, with an accomplished team dedicated to learning and pushing boundaries
• We have a strong engineering culture, which values open-source

You will

• You’ll apply your expertise in quantitative analysis, data mining, and the presentation of data to understand how users interact with our products, such as the Valora mobile app.
• You’ll leverage insights from data by providing analyses, reports, and dashboards in close collaboration with the other members of the product team.
• You’ll design tracking concepts & work closely with engineering on their implementation in mobile apps (iOS, Android, Web) to ensure that we gather all the necessary data correctly.
• You’ll design, launch, and conduct product experiments to measure the performance of the products we build.
• You’ll shape the product roadmap by defining success metrics, proactively identifying new product opportunities.
• You’ll work with our nascent data infrastructure to find the relevant data, validate its accuracy and reliability, automate analyses and author pipelines via SQL and Python based ETL framework.

You have

• You have strong experience in SQL (BigQuery) and Python.
• You have experience in A/B Testing: designing experiments and analyzing results with a solid background in statistics.
• You have experience setting up data pipelines using tools like Segment.
• You have experience working with Tracking Technologies: Google Analytics or similar alternatives e.g. Amplitude, Adobe Analytics/Omniture, SnowPlow, etc.
• You have experience with Data Visualization Technologies: Preferably Google Data Studio or Metabase or similar alternatives including Looker, QlikView, etc.
• BONUS: You have experience with QA Technologies: Preferably Android Studio, Charles Web Debugging Proxy, or similar alternatives Observepoint, etc.
• BONUS: You have experience in a consumer technology company
• BONUS: You have experience in crypto

What we offer:

• Competitive salary, and coin plan
• Team outings, TGIFs, and more