Mark Hall
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer at ServiceNow
Mark Hall is one of the original core developers of the Weka machine learning software and is currently a developer and data scientist at Pyramid Analytics. He has 15 years experience as an academic researcher in computer science and has published in machine learning conferences and journals. Prior to joining Pyramid, Mark lead Pentaho's machine learning solutions and, after Pentaho's acquisition by Hitachi, worked as chief machine learning architect with Hitachi Vantara Labs. Mark held teaching and postdoctoral positions at the University of Waikato, and is currently an honorary research associate with the computer science department's machine learning group. Mark is married with five children. In his spare time he enjoys playing with his kids, windsurfing and playing guitar.
The University of Waikato
PhD, Machine Learning, Data Mining
January 1, 1992 – January 1, 1997
ServiceNow
Senior Staff Machine Learning Engineer
April 1, 2026 – Present
New Zealand · Remote
Pyramid Analytics
Data Scientist
January 1, 2021 – April 1, 2026
Rotorua, Bay of Plenty, New Zealand
Hitachi Vantara
Machine Learning Architect
September 1, 2017 – January 1, 2021
New Zealand
Pentaho
Sr. Data Mining Consultant / Engineer
October 1, 2007 – September 1, 2017
University of Waikato
Senior Lecturer
February 1, 2000 – September 1, 2007
University of Waikato
Postdoctoral Researcher
February 1, 1999 – February 1, 2000
Weka - Waikato Environment for Knowledge Analysis
April 1, 2004 – Present
Machine learning workbench written in Java, released under GPLv3.
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning and Data Mining, which aligns well with the analytical aspects of a Big Data Engineer role. The academic background and involvement in open-source projects suggest a culture of continuous learning and contribution. However, the resume does not explicitly detail experience with modern Big Data technologies (e.g., Hadoop, Spark, Kafka, cloud platforms), which might indicate a gap in direct cultural fit for a purely 'Big Data Engineer' role focused on distributed systems infrastructure rather than just data science.
Soft Skills & Operational Fit
The candidate's long tenure in academic and industry roles, including leadership positions, suggests strong problem-solving, analytical, and potentially mentoring skills. The involvement in open-source projects like Weka indicates a collaborative mindset. However, specific soft skill assessments are not available.