Data Scientist

We are looking for a Data Scientist to help structure, validate, and evolve the analytical foundation of a platform that helps brands understand and improve how they appear in AI generated answers. This role sits between AI agent systems, graph data, the data lake, and product delivery, for a team that requires consistent working hours overlapping the UK and US.

About the Client

Emberos is the operating system for AI brand visibility. The platform helps brands monitor how they are mentioned in answers from ChatGPT, Google AI Overviews, Claude, Grok and other AI models, predicts the impact of specific fixes, and automates the workflows that improve and prove that visibility over time. The team is actively expanding its cloud based architecture on AWS and its core agent platform, with hiring continuing through the end of the year.

About the Project

This is a net new features role, meaning you will be involved from scoping through implementation of the platform's AI agent systems and data architecture, rather than maintaining existing pipelines. The team is actively moving the stack toward scalable, cloud based microservices on AWS, with Neo4j as a core part of how brand and visibility data is modeled.

Responsibilities

• Develop and validate measurement frameworks for AI visibility, including share of prompt, citation coverage, signal strength, prompt demand, relationship strength, and lift from recommended actions;

• Build, ground, and evaluate AI agent systems as part of the platform's core architecture;

• Use Neo4j to model, query, and analyze relationships among brands, products, competitors, prompts, responses, citations, channels, geographies, and campaigns;

• Partner with data engineering to define how raw, normalized, enriched, and analytical datasets are structured across the data lake, including partitioning, schemas, keys, lineage, and versioning;

• Build analytical pipelines in Python and SQL that transform multi LLM polling data into reliable features, metrics, and product ready datasets, working at scale within an AWS microservices environment;

• Design methods to connect recommended actions to subsequent changes in prompts, citations, visibility, and business outcomes without overstating causality;

• Create evaluation frameworks for data completeness, metric stability, drift, bias, source quality, and entity resolution;

• Document assumptions, formulas, data sources, and limitations in language that engineering, product, and customer teams can understand;

• Work from scoping through implementation on net new features as the platform's architecture expands;

• Collaborate with frontend engineers to ensure analytical results are visualized accurately, with the right context and confidence indicators.

Qualifications

• 5+ years of professional experience in data science, applied statistics, quantitative research, machine learning, or analytics engineering, with exceptions possible for candidates with a uniquely strong AI systems fit;

• Strong understanding of AI agent systems, including building, grounding, and evaluating agents;

• Hands on experience with Neo4j, Cypher, and graph data concepts, including nodes, relationships, properties, constraints, and traversal;

• Strong Python and SQL skills, including data preparation, validation, statistical analysis, and production oriented analytical workflows;

• Database knowledge at scale, with familiarity with AWS microservices and data lake concepts considered a plus;

• Ability to reason about noisy, changing, non deterministic data such as repeated LLM responses and evolving web citations;

• Strong spoken and written English, including the ability to explain technical methods clearly to non specialists;

• Availability to work 11 AM to 7 PM Poland time;

• Nice to have: causal inference or attribution methods, and experience with Databricks, BigQuery, or Snowflake.

Recruitment Process

• Initial conversation;

• Cultural fit interview;

• Technical challenge;

• Final interview.

Inuits Sp. z o.o. is registered in KRAZ under number 35420. We handle contracts, payroll, and Polish employment law, so you can focus on the work.