Senior Data Scientist shaping Wealthsimple’s crypto experience through analytical rigor and cross - functional partnership. Collaborating on product and business decisions impacting millions of clients.
LP
Data Architect – MDM & Data Quality
Posted via LinkedIn Recruiter (not a company profile)
Posted last week
About the role
- Lead complex entity resolution projects as a Data Architect – MDM & Data Quality, supporting Capital Markets with innovative data architectures.
Responsibilities
- Develop and communicate a long-term vision for client hierarchy and entity resolution strategies. Design and implement entity resolution algorithms utilizing AI, probabilistic, deterministic, and machine learning techniques. Analyze and profile large datasets to identify duplicate, related, or conflicting records using AI-driven methods. Create data matching and linking rules to enhance entity resolution accuracy. Evaluate, select, and integrate appropriate tools and technologies such as Python, SQL, Spark, and MDM solutions. Collaborate closely with analytics teams to deliver clean, governed datasets for reporting and modeling. Monitor, evaluate, and optimize the performance of entity resolution processes, focusing on precision, recall, and scalability. Document methodologies, data flows, and rules to ensure transparency and regulatory compliance. Support data quality initiatives by identifying and resolving data integrity issues through AI-enabled techniques.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field. 5+ years of experience in data management, data quality, entity resolution, or AI/ML roles. Strong understanding of entity resolution, data quality, and master data management concepts. Proficiency in SQL, data analysis, and data profiling. Skilled in programming languages such as Python, Alteryx, Java, or equivalent. Demonstrated experience with data matching, record linkage, and de-duplication methodologies. Hands-on experience with large-scale data processing frameworks like Apache Spark or Hadoop. Familiarity with Master Data Management (MDM) tools or commercial entity resolution platforms. Knowledge of entity resolution vendors (e.g., Quantexa, Knights Analytics) and Golden Source data models.
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