As Principal Data Scientist, reporting to the chief scientist, you'll lead our data science efforts. You are a highly experienced and motivated Principal Data Scientist with specialized expertise in knowledge graphs to join our growing team. In this role, you will play a critical part in designing, developing, and deploying knowledge graph solutions to address complex business challenges. You will be a thought leader in the field, driving innovation and contributing to the advancement of our data science capabilities.

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If you are interested in discussing further, please send your CV with a link to your GitHub profile or repository that showcases sample end-to-end web applications.

careers @ alpha - matica . com

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• Knowledge Graph Development: Lead the design, development, and implementation of knowledge graphs, including ontology design, data ingestion, graph databases, and knowledge representation.

 

• Advanced Analytics and Machine Learning: Utilize knowledge graphs to conduct advanced analytics, including link prediction, graph algorithms, and machine learning on graph data.

 

• Problem Solving: Apply knowledge graph technologies to solve real-world business problems, such as information retrieval, analytics, and knowledge customization.

 

• Innovation: Stay abreast of the latest advancements in knowledge graph technologies and identify opportunities to incorporate them into our solutions.

 

• Collaboration: Work closely with data engineers, software engineers, and business stakeholders to ensure successful project delivery.

 

• Mentorship: Provide guidance and mentorship to junior data scientists on knowledge graph concepts and best practices.

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• Education: MSc or PhD in Computer Science, Artificial Intelligence, or a related field.

 

• Experience: 8+ years of experience in data science, with a strong focus on knowledge graph technologies.

 

• Knowledge Graphs: Extensive experience with knowledge graph development, including ontology design, RDF, SPARQL, graph databases (e.g., Neo4j), and graph algorithms. Working experience with large-scale search engines and DBMS (e.g., Elasticsearch, SQL, Neo4j, CosmosDB).

 

• Machine Learning: Strong understanding of machine learning techniques and their application to graph data.

• Programming: Proficiency in Python and relevant libraries (e.g., rdflib, networkx, scikit-learn).

 

• Data Engineering: Familiarity with data engineering principles and tools for data ingestion and processing.

 

• Cloud Technologies: Experience with cloud platforms (e.g., Azure) and their knowledge graph services.

 

• Communication: Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

 

• Problem-solving: Strong analytical and problem-solving skills, with a proven ability to tackle complex challenges.

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At Alpha Matica, we are staunch advocates of diversity and firmly committed to ensuring equal opportunities for employment. We strongly believe that every individual, irrespective of their sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity, deserves a level playing field. We extend a warm invitation to individuals from groups that have historically been underrepresented in the tech industry to join our team and contribute their unique talents and perspectives.

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If you are interested in discussing further, please send your CV with a link to your GitHub profile or repository that showcases sample end-to-end web applications.

careers @ alpha - matica . com