Data Scientist Graph Database
Data Scientist Graph Database
Posted on :
20-10-2024
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Job Description
Job Title: Data Scientist (Graph)
Location: Remote
Job Type: Fulltime
Job Description Managing Data Scientist: Graph Data Science and Graph Databases
We are looking for a Managing Data Scientist who possesses a combination of strong analytical problem solving and client facing skills mixed with a deep technical knowledge of graph data bases and graph data science. You will be a strong communicator and team player who demonstrates passion and curiosity in your approach.
Roles & Responsibilities:
- Gathering Business Intelligence/Insights on graph use cases such as Identity Resolution to solve a variety of business problems across our clients businesses
- Develop Graph Data Science solutions and supporting roadmaps for our clients transformation agendas
- Architect design and implement scalable and efficient graph database identity resolution solutions tailored to complex data relationships and queries
- Lead the design of graph data models for identity resolution and ensure optimal performance for querying and analytics
- Develop and manage graph database solutions such as Neptune Neo4j or similar graph databases
- Optimize graph databases for performance including query optimization indexing and schema design
- Implement best practices for database indexing partitioning and clustering to support largescale deployments
- Create and maintain comprehensive data models that effectively represent relationships hierarchies and network structures for graph use cases (e.g. identity resolution)
- Integrate identity resolution graph databases with existing data systems ensuring seamless data flow and consistency across platforms.
- Provide technical leadership and mentorship to graph database engineers and developers fostering best practices in graph database design and development.
- Collaborate with crossfunctional teams including data scientists software engineers and business analysts to deliver integrated identity resolution solutions
Qualifications
- 7 years of Data Science experience in model development model design and practical application of model deployment into product.
- 1 year of experience in Data Science model development on graph databases and practical working experience on Graphs/Graph Analytics (identity resolution social networks device graphs knowledge graphs graph neural networks etc.)
- Strong understanding of graph database concepts and their application in a variety of use cases with hands on experience with a graph database platform such as Neo4j Tiger Graph or AWS Neptune
- Extensive experience in developing graph data models (property or RDF) as well as relational data models
- Strong familiarity with AI frameworks such as NumPY Pandas Scikitlearn in Python/Pyspark/ or Scala and a strong working knowledge of one graph specific language (Cypher or Gremlin)
- Familiarity with cloud platforms like AWS GCP or Azure and building data science models in cloud environments
- Excellent verbal and written communication skills
- Excellent time management and problemsolving skills
- Comfortable working in a dynamic fastpaced innovative environment with several ongoing concurrent projects.
Nice to Have
- Familiarity with the endtoend AdTech ecosystem inclusive of LiveRamp (i.e. RampID Safe Have Habu etc.) DV360 The Trade Desk Kevel and others
- Experience in AdOps and digital activation across global platforms
- Strong understanding of identity retail and commerce platforms
- Strong understanding how regulations like CCPA and GDPR are impacting marketing channels
Employment Type
Full Time
Key Skills
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