What are the responsibilities and job description for the Junior Data Analyst position at Daice Labs?
Company Description
Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures.
Join us in taking the next leap in productivity through collaborative innovation.
Role Description
This is a full-time remote role for a Junior Data Analyst at Daice Labs. The Junior Data Analyst will be responsible for analyzing and interpreting data to uncover trends, create reports, and support data-driven decision-making. The role involves managing datasets, performing data cleaning, visualizing data insights, and coordinating with cross-functional teams to fulfil analytic requirements. Successful candidates will also have opportunities to contribute to ongoing AI research projects and collaborate with interdisciplinary teams.
Qualifications
- Proficiency in data analysis, statistical methods, and data visualization techniques.
- Programming skills in languages like Python or R for data manipulation and analysis.
- Strong problem-solving and critical thinking abilities, along with meticulous attention to detail.
- Clear communication skills to present analytical findings and collaborate across teams.
- Foundational knowledge of AI, machine learning concepts, and/or interest in advancing hybrid AI research is a strong advantage.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field is preferred, or equivalent relevant experience.
- Ability to work independently in a remote, fast-paced, and collaborative team environment.
