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 is a plus.
Ability to work closely with stakeholders to determine requirements
Excellent time management, planning, and organizational 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
Peekage is an AI-accelerated Product Innovation Platform that helps North American CPG brands design and run consumer insight studies end-to-end. Our platform enables stakeholders to launch optimized research, collect high-quality consumer data, and translate results into actionable insights to improve product, pricing, messaging, positioning, and social presence.