Data Science - Graph DS

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data Science - Graph DS in Remote. Below is the detailed job description.

Title: Data Science - Graph DS

Location: Remote

Duration: FTE

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 client's 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 large-scale 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 cross-functional 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, Scikit-learn in Python/Pyspark/ or Scala and a strong working knowledge of one graph specific language (Cypher or Gremlin)
• Familiarity with cloud platforms like AWS, Google Cloud Platform, or Azure and building data science models in cloud environments
• Excellent verbal and written communication skills
• Excellent time management and problem-solving skills
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects.

Nice to Have

• Familiarity with the end-to-end 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

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