Senior Data Scientist

Company Overview

CertiK, established in 2018 by academics from Yale University and Columbia University, is at the forefront of blockchain security. The company endeavors to secure the web3 world through innovative AI technology. CertiK designs safeguarding solutions for blockchain protocols and smart contracts by incorporating cutting-edge academic advancements into the enterprise. Having collaborated with over 3,200 Enterprise clients, CertiK values security, having protected digital assets worth over $310 billion and identified 60,000+ vulnerabilities in blockchain code. Noteworthy partners include Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. The company is backed by prominent investors such as Insight Partners, Sequoia, Tiger Global, and others, highlighting its credibility in the industry.

Job Summary

As part of CertiK's progressive team, the role involves leading data science and engineering projects to develop competitive data-driven strategies and tackle intricate analytics obstacles. Key responsibilities include analyzing data in depth to generate valuable insights that contribute to business growth, overseeing the creation of advanced analytics platforms within TB-scale blockchain data, and identifying complex information sources to shape data science visions and warehouses. Moreover, the position necessitates employing statistical methods for analytical purposes, constructing computational models, developing data pipelines and ETL processes, utilizing cloud infrastructure for data analytics, and facilitating data-based strategic decision-making processes.

Requirements

Prospective candidates should hold a Bachelor's degree in Computer Science, Statistics, or a related field, accompanied by a minimum of 5 years in developing big data analytics platforms in large enterprises using technologies like Hadoop, Spark, and cloud platforms. Proficiency in distributed computing, machine learning, ETL workflows, and visualization of expansive datasets is crucial, along with expertise in real-time and batch data processing, predictive modeling, and querying sizeable data sets. A strong foundation in statistical analysis, machine learning, data mining, and optimization is essential, supplemented by a deep understanding of digital marketing practices such as SEO, social media analytics, and optimized ad campaigns. The role also calls for adeptness in constructing robust data pipelines, creating interactive dashboards, monitoring key performance indicators, and implementing A/B testing methodologies.

Compensation

The anticipated compensation range for this position in the US falls between $165,000 and $170,000 annually, subject to the candidate's qualifications and experience. CertiK offers an array of benefits to full-time employees, including medical, vision, and dental insurance, a 401(k) plan with company matching, life insurance, flexible paid time off, and a competitive commission program for roles related to business development sales. Employment eligibility in the US must be validated upon hiring, and CertiK values diversity and equal opportunity employment practices.