Data Analyst

About Daice Labs

Daice Labs is an innovative AI research and product company founded by scientists from MIT CSAIL, headquartered in Brookline, MA. The company specializes in hybrid AI systems that merge neurosymbolic approaches with machine learning to create AI solutions that are auditable, adaptable, and easily governable. Daice Labs comprises two main divisions: a research laboratory dedicated to hybrid AI architectures and Cofabric, a governed AI execution platform designed for long-term collaborative projects.

Role Overview

We are seeking a Data Analyst based remotely in Singapore who will collaborate closely with engineering and research teams to gather, analyze, and interpret data pivotal for product development, model evaluation, and business operations. The ideal candidate will showcase strong analytical acumen, meticulous attention to detail, and the ability to clearly convey insights to both technical and non-technical audiences.

Key Responsibilities

• Conduct detailed analysis of datasets to uncover trends, patterns, and actionable insights aiding product and business strategies.
• Create and manage dashboards, reports, and automated data summaries leveraging visualization tools.
• Develop and enforce quality assurance measures and validation checks for data integrity.
• Collaborate with machine learning engineers to assess model metrics and experimental outcomes.
• Utilize SQL and Python scripting for efficient data extraction, manipulation, and detailed analysis.
• Maintain comprehensive documentation of analytical techniques, data origins, and results to facilitate internal knowledge exchange.
• Support operational reporting activities including monitoring usage statistics, analyzing user behaviors, and tracking key performance indicators.

Qualifications

• Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, or Economics.
• Minimum of one year of professional experience in data analysis or a related analytical position.
• Proficient in SQL and at least one programming language, preferably Python or R.
• Experienced in data visualization platforms like Tableau, Power BI, Looker, or comparable tools.
• Strong grasp of both descriptive and inferential statistical methods.
• Ability to present analytical results articulately through written documentation and verbal presentations.
• Detail-oriented with a methodical approach to problem-solving.

Preferred Skills

• Familiarity with Python data analysis libraries such as Pandas, NumPy, and Matplotlib.
• Experience with cloud-based data warehouses including BigQuery, Redshift, or Snowflake.
• Knowledge of A/B testing methodologies or experimental design principles.
• Exposure to foundational machine learning concepts and performance evaluation metrics.

Compensation

This is a paid, full-time position with remuneration competitive within the Singapore market. Specific salary and benefits details will be addressed during the interview process.

Equal Opportunity Employment

Daice Labs is committed to equal opportunity in employment. All qualified candidates will be considered without discrimination based on race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or any other characteristic protected by law.