SELF ID is hiring a
Data Scientist

Summary

Join our fast-growing technology startup as a Senior Data Scientist/DBA and contribute to the development of innovative solutions by managing data infrastructure, ensuring data integrity and security, and leveraging your analytical skills to derive and visualize valuable insights from complex datasets.

Requirements

• Proven experience (5+ years) in the fields of Data Science, Database Administration, or similar/adjacent data-centric roles
• Deep experience in data visualization best practices and experience with common visualization tools (Looker, Sisense, ThoughtSpot, Tableau, Sigma, Metabase, Domo)
• Strong SQL experience and a track record w/database management systems (PostgreSQL, MySQL, SQL Server, Oracle, etc.)
• Solid understanding of statistical analysis, data mining, and machine learning techniques
• Experience with cloud platforms and technologies (we’re a GCP shop) for data storage and processing
• Knowledge of blockchains (Bitcoin and Ethereum in particular) with a strong grasp of various cryptography-related topics including public/private key cryptography, hashing functions, zero knowledge proof, etc
• Bachelor's or Master's degree in Computer Science, Engineering or a related field (or equivalent experience)
• Proven track record of working in environments geared toward the developing and deploying blockchain-related/adjacent solutions
• Excellent problem-solving skills, attention to detail, and a proactive approach to addressing infrastructure challenges
• Strong communication and collaboration skills, with the ability to convey Data Science concepts to both technical and non-technical stakeholders

Responsibilities

• Develop, implement, and maintain scalable database solutions to support our growing data needs
• Ensure the integrity, security, and availability of our databases through regular backups, monitoring, and maintenance
• Optimize database performance and conduct regular performance tuning exercises
• Troubleshoot and resolve database-related issues promptly and effectively
• Design and implement appropriate data governance and access controls
• Apply advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights
• Collaborate cross-functionally to identify key business questions and develop data-driven solutions
• Develop and maintain models for predictive analytics, forecasting, and optimization
• Communicate complex findings in a clear and concise manner to both technical and non-technical stakeholders
• Create visually appealing and intuitive dashboards, reports, and visualizations to communicate data-driven insights effectively
• Develop and automate data reporting processes to provide timely and accurate information to stakeholders
• Identify opportunities to improve data visualization techniques and tools to enhance data understanding and decision-making
• Collaborate with the engineering team to design and implement data infrastructure, including data pipelines, ETL processes, and data warehousing solutions
• Evaluate and select appropriate technologies and tools to support data processing, storage, and analysis
• Stay up-to-date with the latest trends and advancements in data management and analytics to drive continuous improvement

Benefits

• Competitive salary - because we value your experience and expertise
• Unlimited vacation / sick days - because everyone deserves time for R&R
• Flexible work environment - because we are a geographically dispersed team and we believe in balance
• A close-knit team of enthusiastic, collegial and driven people to work alongside in a highly meritocratic environment - because - teamwork makes the dream work
• The ability to build something great alongside great people - because we're here to change the world, and to have a lot of fun along the way