Senior Data Scientist – Knowledge Graphs & Advanced Analytics

Job Location: 100% remote

Role Overview

We are seeking a Senior Data Scientist with strong expertise in knowledge graphs and advanced analytics to lead a customer-facing data initiative. This role is highly proactive and hands-on, suited for someone who can take ownership in environments where clients have limited internal data science maturity. You will work closely with engineers and stakeholders as part of an integrated delivery team, focusing on semantic data modeling, graph-based analytics, and explainable insights rather than traditional tabular approaches.

Key Responsibilities

Data & Analytics

• Analyze existing datasets, business processes, and decision rules to identify improvement opportunities.
• Design and implement semantic data models and knowledge graphs that represent core entities, relationships, and business logic.
• Define requirements for ETL pipelines, data ingestion, and integration across multiple data sources.
• Enable advanced and explainable analytics using graph-based reasoning, patterns, and metrics.
• Create graph visualizations, prototypes, and sample dashboards to highlight key use cases, anomalies, and performance indicators.
• Prepare data and analytical foundations for future ML/AI and predictive analytics use cases.
• Advise on scalable data architectures, APIs, and integration patterns, including support for streaming or event-driven platforms.

Taxonomies & Ontologies

• Develop and maintain domain-specific taxonomies to ensure consistent classification of entities and concepts.
• Design and implement ontologies that capture semantic relationships, hierarchies, and constraints across data domains.
• Align taxonomies and ontologies with business rules and knowledge graph models to ensure interoperability.
• Establish governance, versioning, and documentation practices to support scalability and reuse.
• Collaborate with subject matter experts to validate semantic structures and continuously improve data quality.

Collaboration & Enablement

• Work closely with engineering teams and business stakeholders in a delivery-focused, cross-functional setup.
• Contribute to project planning, progress reporting, and stakeholder communication.
• Develop basic training, documentation, and enablement materials to support adoption of graph-based and semantic data workflows.

Required Skills & Experience

• Strong background in Data Science, Advanced Analytics, or a related field.
• Proven experience designing and working with knowledge graphs and graph databases (e.g., Neo4j or similar).
• Solid understanding of data modeling, ETL processes, and analytical pipelines.
• Ability to translate business needs and abstract problems into robust technical data solutions.
• Comfortable working autonomously while collaborating closely within cross-functional teams.

Nice to Have

• Experience with time-series data and/or streaming platforms.
• Exposure to machine learning, AI, or predictive analytics use cases.
• Background in consulting or customer-facing project environments.