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Data Scientist
2 months ago
SELF ID is a new company focused on solving the issue of digital identity. Instead of looking at identity as a problem to solve through "authentication", we've realized that the context is much bigger and more exciting. Our solution enables users to co-own their data with the platforms they create that data with, and then gives them the ability to share, give, distribute, and even monetize that data as we put the individual at the center of their electronic universe and create the world's first "digital genome".
Our company is founded by leading inventors and investors in the crypto space, and includes founders of some of the top 4-5 crypto projects by market cap. With the expertise we have in the space, the experience we have across our founders, and the excitement around this particular type of technology, we are confident that this project takes on a life of its own. We want to be sure we're enlisting the help of the right people to help us on that journey.
SELF has recently closed a seed round of funding and is launching this fall.
Summary of Role:
SELF ID is looking for a Senior Data Scientist/DBA to join our fast-growing technology startup. As a key member of our team, you will be responsible for managing our data infrastructure, ensuring data integrity and security, and leveraging your analytical skills to derive and visualize valuable insights from complex datasets. You will collaborate closely with our Engineering, Product, and Business teams to drive data-centric decision making and contribute to the development of innovative solutions.
This fully remote, full-time role offers a unique opportunity to work on cutting-edge technologies and make a significant impact on our company's success.
Core Skills:
- 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.
Responsibilities:
- Data Management and Administration:
- 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.
- Data Analysis and Insights:
- 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
- Data Visualization and Reporting:
- 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
- Data Infrastructure and Architecture:
- 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.
Qualifications:
- 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.
Working at SELF ID
We benefit from the great work you do each day. That is why we are committed to providing a variety of benefits to help each of us live our best lives.
- 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
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.