Demo

Senior Data Scientist

Algobrain
Pittsburgh, PA Full Time
POSTED ON 2/23/2025
AVAILABLE BEFORE 5/21/2025

Job Description

Job Description

Our client is seeking an experienced Senior Data Scientist with AI expertise who has a strong background in Neo4j and Python. This role requires a deep understanding of graph databases, AI / ML algorithms, and data engineering while also playing a key role in pre-sales discussions to help drive business growth.

Responsibilities : AI & Data Science

  • Design, develop, and deploy AI / ML models leveraging Python and Neo4j (Graph Data Science Library).
  • Apply advanced machine learning techniques to solve complex business problems.
  • Work with graph-based machine learning for fraud detection, recommendation systems, and knowledge graphs.
  • Optimize and fine-tune AI / ML models for scalability and performance.
  • Graph Database & Big Data
  • Build and maintain graph-based data models using Neo4j to analyze relationships and insights.
  • Utilize Cypher query language to manipulate and extract insights from graph databases.
  • Work with large-scale datasets and integrate Neo4j with cloud-based data pipelines.
  • Presales & Client Engagement
  • Partner with the sales and business development teams to present AI / ML solutions to clients.
  • Lead technical discussions, proof of concepts (PoCs), and demos for potential clients.
  • Translate business challenges into AI-driven solutions and provide strategic recommendations.
  • Prepare technical proposals, solution architecture, and documentation to support pre-sales activities.

Cloud & MLOps

  • Deploy AI / ML models in cloud environments (AWS, Azure, or GCP).
  • Utilize Kubernetes, Docker, and MLOps tools (MLflow, Kubeflow) for scalable deployments.
  • Work with CI / CD pipelines for continuous integration and deployment of machine learning solutions.
  • Requirements :

  • Experience Range : 8 Years
  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
  • Proven experience in ETL testing, data validation, and quality assurance.
  • Strong understanding of ETL concepts, data warehousing, and database management.
  • Proficiency in SQL and experience with ETL tools (e.g., Informatica, Talend, Apache Nifi).
  • Familiarity with automated testing tools and frameworks is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
  • Detail-oriented with a strong focus on data quality and accuracy.
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