Junior Applied AI Scientist

We are hiring a Junior Applied AI Scientist to join our Data team. In this role, you will contribute to end-to-end applied AI and data projects—from data preparation and analytics to building LLM-powered automations, designing research outputs, and supporting dashboards and reporting. This position is well-suited for someone early in their career who is highly analytical, detail-oriented, and excited to learn.

Employment type: Full-time (or near full-time)
Commitment: Long-term, minimum 18 months (not suitable if you expect major near-term changes in location/availability due to obligations such as immigration processes or military service).
Work model: Hybrid


Responsibilities

• Support and improve our data warehouse by helping define, validate, and update reporting requirements.
• Build reports and analyses that translate business questions into measurable outcomes.
• Help design optimal surveys and research studies to collect high-quality consumer data.
• Develop and maintain data pipelines (user metrics, scoring, transformations, validations).
• Build and iterate on AI/LLM pipelines (prompt engineering, agent workflows, automation steps).
• Maintain data orchestration workflows (e.g., scheduling, monitoring, reliability improvements).
• Provide QA for imported data, reporting outputs, and insight deliverables.
• Build and maintain dashboards in tools such as Metabase and/or Power BI.
• Maintain a data catalog (SQL tables, dashboards, reports) and document data processes clearly.

Qualification:

• Bachelor’s degree (or current undergrad student) from a top-5 university in computer science, software engineering, electrical engineering, applied sciences, or statistics.
• Super detail-oriented and obsessed with data accuracy
• Ability to quickly learn and apply new concepts
• Work experience as a data analyst or in a related field.
• Ability to work closely with stakeholders to determine requirements
• Excellent time management, planning, and organizational skills
• Advanced Python programming skills
• Continuously monitors and experiments with cutting-edge AI and LLM innovations to integrate emerging capabilities into real-world applications.
• Ability to translate business requirements into non-technical, lay terms.
• Experience in developing AI automations or pipelines
• Demonstrated experience in handling large data sets and relational databases.
• High-level written and verbal English communication skills.
• Experienced in MSSQL and PostgreSQL
• Experience with data orchestration tools like Airflow
• Beginner knowledge of Python is a must, and advanced knowledge is a plus

Additional Skills (Nice-to-haves):

• Experience with prompt engineering and its frameworks
• Experience with building AI agents or n8n
• Experience with building RAG is a plus
• Knowledge of AI is a plus
• Knowledge of NLP and Machine Learning models is a plus
• Experience with data visualization platforms such as PowerBI, Metabase, or Tableau
• Great data storytelling skills

Benefits:

• Working with an international team on 3 continents
• Learning cutting-edge development techniques
• Competitive compensation
• Payment in USD