Senior Data Scientist
About the Company
Established in 2018 by esteemed professors of Yale University and Columbia University, this company is a trailblazer in blockchain security. By leveraging state-of-the-art AI technology, the company safeguards and monitors blockchain protocols and smart contracts. The core mission of the firm is to ensure cybersecurity, starting with blockchain. Through the integration of cutting-edge academic innovations into the business sector, CertiK empowers the creation of mission-critical applications with a focus on security and accuracy. CertiK has rapidly emerged as a highly reputable and fast-growing entity in the blockchain security arena, positioning itself as a leading player. Noteworthy clients include distinguished projects like Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. The company is backed by prominent investors including Tiger Global, Coatue Management, Shunwei Capital, and Hillhouse Capital, as well as industry giants like Coinbase Ventures and Binance.
Responsibilities
- Drive initiatives in data science and engineering to craft competitive, data-centered strategies and address complex analytics challenges.
- Offer vital insights to boost business value, foster revenue growth, and effectively tackle ad-hoc data requests.
- Architect data pipelines and ETL processes, as well as deploy CI/CD for blockchain data ingestion, flattening, preprocessing, and aggregation.
- Establish and oversee advanced analytics platforms for terabyte-scale blockchain data.
- Source and analyze intricate data from diverse origins to outline a data science vision, analytics roadmap, and data warehouses.
- Leverage statistical methodologies to assess integration opportunities, applying statistical data analysis and coding proficiency.
- Develop computational models using regression and time-series analysis techniques.
- Provide data-driven analytical and strategic insights to leadership, facilitating quantitative decision-making.
Requirements
- Possess a Master's degree in Computer Science, Data Science, Information Science/Management, or a related field.
- Have at least 1 year of experience in developing big data analytics platforms for large enterprises, alongside constructing robust data pipelines and predictive models.
- Demonstrate expertise in machine learning methods (regression, classification, unsupervised learning), real-time and batch data processing, data warehousing, data wrangling, and data visualization.
- Showcase strong skills in statistical analysis and presenting data-driven insights effectively.
- Proficient in Python libraries (Pandas, Scikit-learn, PyTorch, Matplotlib), SQL, NoSQL, Hadoop, Spark, and AWS platforms.
The anticipated annual salary for this role falls within the range of $130,000 to $160,000. Final compensation will be determined based on the skills and experience of the qualified candidate.
This position will remain open for applications until filled, with an approximate closing date of February 26, 2025.
CertiK offers comprehensive benefits to full-time employees, including medical, vision, and dental insurance, a 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA with a high deductible plan, FSA, flexible paid time off and holidays, and a variable commission program for business development sales roles.
All CertiK employees are expected to actively support diversity within their teams and across the company to ensure an inclusive work environment.
