Tron is hiring a Web3 Head of Data Analytics, BitTorrent
Location: San Francisco, California, United States
Do you want to create a free and decentralized internet through blockchain and open a new borderless economy on a global scale?
We are looking for a highly motivated Data Analyst who is passionate about big data and experiment design to join BitTorrent’s team. Projects will span many analytics initiatives, ranging from in-app features to product marketing, pricing and more.
The ideal candidate will show a strong grasp of business models and statistics, excellent understanding of hypothesis testing, great analytical and problem-solving skills and the ability to coherently describe complex mathematical concepts to a layman audience.
To be successful in this role, you
- You are hyper analytical and strategic and are a black belt in storytelling with data. You can’t help but crunch the numbers in order to derive the insights to influence action.
- You have experience developing and implementing business and measurement strategies in collaboration with cross-functional stakeholders and partners.
- You possess the ability to lead and influence without formal authority in order to drive change. You develop strong relationships and use stellar communication skills to ensure alignment.
- You are goal oriented and possess the grit and tenacity to do whatever it takes to deliver results in a scrappy startup environment with limited resources - and you’ll have fun doing so!
- The ability to roll up your sleeves to be a player coach. You will manage other analysts and multiply your impact through the development and scaling of your small but mighty team.
Key Responsibilities
- Provide insights and discovery on a variety of dataset across the business.
- Serve as the data and analytics domain expert, evangelizing data literacy and building a suite of tools to empower the team to make data-informed decisions: dashboards, reports, ad-hoc queries, insightful observations
- Own and run A/B/m experiments
- Provide support and expertise to Product Managers in defining KPIs and technical data requirements to ensure all product features and initiatives launch with proper metric tracking.
- Deliver data and data analysis on an ad-hoc basis using whatever tools are necessary for the task
- Measure network performance in one of the world’s largest distributed applications.
Key Skills
- Master’s degree in statistics, economics, mathematics, or an MBA
- 3+ years of professional experience as a Senior Analyst.
- Strong SQL capabilities - experience querying data from relational DB engines.
- Solid programming skills in Python or R, or other data analytics programming languages.
- Knowledge and experience in A/B testing - know about statistical test, bayesian inference.
- Experience with a Business Intelligence Dashboards tool (Tableau, Google Data Studio, Superset, or similar)
- Strong written and verbal communication skills - be able to take complex math and analytical concepts and explain to working teams and client executives.
Bonus!
- Experience with the big data technology stack (HDFS, MapReduce, Spark, Hive) and big data processing
- Experience with MapReduce using Hadoop or Spark
- Knowledge in machine learning algorithms such as linear/logistic-regression, Neural-Networks and others would be a strong plus.
- Experience with AWS tools/services is a big plus!!
BitTorrent is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Apply Now:
This job is closed
Web3 Data Scientist Jobs
Job Position and Company | Location | Tags | Posted | Apply |
---|---|---|---|---|
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | Apply | ||
| by Metana | Info | ||
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | Apply | ||
| San Francisco, CA, United States | |||
| San Francisco, CA, United States |