Position: REMOTE Junior Data Analyst
Company: Daice Labs
Location: India
Job type: Full-time
Job mode: Remote
Job requisition id: Not Specified in the JD
Years of experience: 0-1+ years
Company Description
Daice Labs stands at the absolute frontier of advanced artificial intelligence research, pioneering next-generation hybrid systems that unite cutting-edge neurosymbolic methods with traditional machine learning techniques.
Founded by visionary scientists from MIT CSAIL and headquartered in Brookline, Massachusetts, the organization is dedicated to creating fully auditable, highly adaptive, and strictly governable AI infrastructures.
The company operates through two highly integrated divisions: an elite research laboratory focused on breakthroughs in hybrid AI architectures, and Cofabric, a specialized platform designed for long-horizon collaborative execution.
Daice Labs is the creator of Dandela, a groundbreaking continuous-learning AI infrastructure tailored specifically for persistent, complex research projects requiring long-term context retention and human attribution.
The platform features Meta-RSI—a central coordination layer that facilitates shared strategy, recursive self-improvement, and continuous real-time learning across diverse operational domains and dynamic project workflows.
By seamlessly fusing bio-inspired system design with frontier models, Daice Labs ensures that AI system evolution remains safely aligned with human governance, cryptographic ledger-based attribution, and verified execution frameworks.
The organization fosters an inclusive, forward-thinking environment driven by open collaboration, active community participation, intellectual rigor, and an unwavering commitment to equal opportunity for global talent across all backgrounds.
Profile Overview
The Junior Analyst role at Daice Labs is an exceptional opportunity designed for sharp, data-driven professionals eager to contribute to high-impact artificial intelligence research and production environments.
In this position, you will work remotely from India, serving as an analytical engine that directly bridges internal engineering teams, research scientists, product decision-makers, and business operation managers.
Your central mission will involve extracting, curating, analyzing, and synthesizing vast and intricate datasets to generate actionable business intelligence, product performance metrics, and research insights.
You will design, build, and maintain sophisticated analytical dashboards, automated data summaries, and routine operational reports using modern visualization tools to track vital KPIs, usage metrics, and user behavior.
A core focus of this position includes implementing rigorous data validation workflows, monitoring structural data quality, and setting up automated checks to ensure absolute data integrity across all research pipelines.
Collaborating side-by-side with Machine Learning Engineers, you will directly evaluate frontier model performance metrics, analyze experimental results, and help refine algorithmic models operating within the Dandela platform.
You will write robust SQL queries and clean Python scripts to perform complex data extractions, feature transformations, and ad-hoc quantitative analysis across enterprise-grade cloud data infrastructures.
The position requires documenting detailed analytical methodologies, data lineage mapping, and project conclusions into structured, internal knowledge repositories to foster seamless cross-functional team enablement.
To succeed, candidates must demonstrate an acute attention to detail, a structured approach to problem-solving, and the unique ability to communicate complex data findings clearly to both technical and non-technical stakeholders.
This entry-level position offers an extraordinary career path to build expertise in advanced AI evaluation, experimental design, and quantitative analytics within a world-class team of researchers and software innovators.
Qualifications
Possession of an accredited Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative or computational discipline.
Demonstrable experience spanning 0 to 1+ years of professional or high-level academic work in data analysis, business intelligence, quantitative research, or a related analytical domain.
Strong foundational proficiency in writing complex SQL queries for relational databases, paired with practical familiarity in core programming languages like Python or R.
Solid practical understanding of descriptive and inferential statistics, including hypothesis testing, distributions, statistical significance, variance analysis, and core quantitative principles.
Hands-on experience creating interactive dashboards, automated summaries, and analytical reports using popular visualization platforms such as Tableau, Power BI, Looker, or similar tools.
Preferred familiarity with core Python data manipulation and analytical libraries, specifically including Pandas, NumPy, Matplotlib, and Seaborn for data processing and exploratory analysis.
Preferred exposure to enterprise cloud data warehouse platforms and cloud computing architectures, such as Google BigQuery, Amazon Redshift, or Snowflake.
Preferred knowledge of A/B testing methodologies, experimental design principles, controlled statistical setups, and hypothesis validation frameworks.
Preferred baseline exposure to core machine learning concepts, statistical modeling techniques, model evaluation metrics, precision-recall trade-offs, and algorithmic testing.
Demonstrated ability to communicate analytical findings, trends, and data insights effectively through concise written reports, clear data visual presentations, and executive summaries.
Exceptional analytical thinking, systematic quantitative reasoning skills, a methodical approach to data cleanup, and meticulous attention to overall data accuracy.
Ability to work independently and effectively within a fully remote team environment across time zones, maintaining high self-motivation, responsiveness, and clear task ownership.
Additional Info
This is a full-time, fully remote position that offers the flexibility of working from anywhere within India while engaging directly with international leadership teams based in Brookline, MA.
Compensation for this role is fully paid and highly competitive for the Indian market, with exact salary and package details discussed transparently during the interview process.
Candidates will gain direct exposure to cutting-edge research concepts in neurosymbolic AI, continuous-learning infrastructure, human attribution systems, and recursive self-improvement technologies.
The position provides an extraordinary learning curve, allowing early-career analysts to cultivate deep expertise in frontier AI performance evaluations and enterprise-scale analytics workflows.
Daice Labs strongly values cross-disciplinary collaboration, encouraging employees to actively share knowledge, write documentation, and contribute to foundational architectural decisions.
As an Equal Opportunity Employer, Daice Labs welcomes all qualified applicants regardless of race, color, age, religion, sex, sexual orientation, gender identity, national origin, or disability status.
Employees enjoy a supportive, remote-first workplace culture built around trust, continuous learning, intellectual autonomy, and collaborative problem-solving across long-horizon research projects.
Joining Daice Labs places you at the intersection of top-tier academic innovation and commercial platform engineering, empowering you to shape the future of safe, governable artificial intelligence.
Please click here to apply.
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