
Senior Data Scientist for Entity Resolution and Graph Analytics
3 days ago
We are seeking an experienced Entity Resolution and Graph Analytics Engineer to lead the development of our distributed graph computing solutions. This is a hands-on technical leadership role where you will architect and implement systems processing billions of entities and relationships.
Job Description:
This is a unique opportunity to join a cutting-edge project that involves designing and implementing distributed entity resolution algorithms, building blocking strategies, developing fuzzy matching algorithms, and creating ML-enhanced matching with explainable AI for match decisions. You will work on architecting distributed graph generation pipelines using GraphX/GraphFrames, implementing graph analytics algorithms, designing storage strategies for multi-billion edge graphs, and building temporal graph support for time-evolving networks.
Required Skills and Qualifications:
- 7+ years of experience in distributed computing and big data systems
- 5+ years specifically in entity resolution and graph analytics at scale
- Expert-level Scala programming skills
- Deep experience with Apache Spark, including custom optimizations
- Production experience with Elasticsearch for search and matching
Benefits:
This role offers competitive senior/staff-level compensation, flexible remote work arrangements, latest hardware and cloud resources for development, LTIP - Long term Incentive plan, 75% of base as Bonus payment at the end of 4th year in service, and Equity potential of up to USD 150K every year.
Interview Process:
The interview process will include a technical screen focusing on distributed systems and graph algorithms, system design session on entity resolution at scale, coding session implementing a graph algorithm in Scala, architecture discussion with the team, and final round with leadership.
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