Senior/Lead Data Scientist - Matrix

As a senior data scientist, you are also experienced in mentoring junior scientists. You know how a sizable data science team is organized and can recommend processes to improve the team's effectiveness now and in the future. For example, you can recommend processes to manage data sets, access control, and data quality. When it requires a specific field of expertise, you can also provide hiring recommendations. In short, as a senior data scientist, you can help build the team.
You’re a self-starter. You believe in tackling the most important problems, even if they are the most difficult problems. You’re comfortable with the unknown and understand that startup life means that you’re going to be wearing multiple hats. And that’s what motivates you. You’re accountable and obsessed with improvement, both in yourself and in others. You’re up to the challenge of building a world-class company that aims to be the infrastructure for more secure software for all.

About the role
This role is at the center of Certik's analytics projects. Every day the blockchain ecosystem generates GBs of publicly available data. By analyzing such data sufficiently, we can not only learn about the security vulnerabilities and attack warnings, but also the whole community's security posture and where the community is going. You'll maintain and evolve a high-level vision for analytics at Certik and at the same time dive into specific hard data problems to either improve CertiK's analytics competency or to deliver concrete and impactful features. You'll also be a mentor and be instrumental in hiring and building and scaling up the data science team. At the same time, this role will spend 20+% of time communicating problems, solutions, insights, and strategies.

Responsibilities

• Dive deep into datasets and ensure data quality
• Dive deep into datasets and form insights on given problems, communicate the findings to a sizable audience
• Propose problems and hypotheses based on the business/technical problems and the datasets at hand
• Mentor junior data scientists
• Work closely with engineers to improve data platform
• Propose processes to improve automation and ensure data quality
• Propose and deploy metrics to measure the health of a data platform, of data sets, and of a data science team
• Lead long term ambitious and hard data projects
• Work closely with the business side to ensure the productionization of analytics insights
• Be a culture add to a fast scaling startup team
• Implement industry best practices
• Help with managing data warehouse assets, access control, and resources
• Own part of the data science hiring process
• Automate whenever it is possible
• Contribute to a culture of sufficient and succinct documentation

Qualifications

• 4+ years of experience working in large data-science projects
• 2+ years of experience working in a fast-scaling data science team
• Expert in SQL, Python, numpy, pandas and other data processing and visualizing languages and tools
• MS degree in CS, Statistics or related fields
• Experience in data devops tools such as airflow, dbt, amusden, kafka, etc.
• Experience with data warehouse
• Understand the industry best practices on how to manage thousands of tables used by dozens of teams, and on how data, access control and team are organized in such scenario
• Understand the industry best practices on data devops such as CD/CI, testing, staging and merging into production
• Understand the industry best practices on data platform and data quality monitoring
• Familiarity with at least one ML library such as Keras
• Be able to tell a story using data to make nontechnical audience understand

Preferred Qualifications

• Experience managing a team
• Deep expertise in ML or ML-ops
• Experience in startup, blockchain/smart contract/DeFi
• Strong contributor to open source community