Role overview
SELF ID is looking for a highly skilled and motivated Data Scientist/Database Administrator 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 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 role offers a unique opportunity to work on cutting-edge technologies and make a significant impact on our company's success.
This is a full-time role reporting to the CEO/interim CTO that can be held anywhere in the world.
What you’ll do at SELF ID:
What you'll work on
- 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 with cross-functional teams 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 stakeholderss
- 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.
What we're looking for
- 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