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Data Science Manager at Neustar, Inc.
I am a Ph.D. scientist living in Greater San Diego working as Data Science Manager. I have 10+ years of experience in machine learning and data science incl. deep learning, generative AI and graph data science. My understanding of machine learning is at the deep mathematical level, and I applied many algorithms from scratch. I also invented several novel machine learning algorithms, e.g. way to find exact RBM gradient. I have extensive knowledge of computer science, data science, mathematics and physics. In particular, I am experienced in statistics, statistical modeling and statistical inference. 10+ years experience in programming and algorithm development (incl. 10+ years in industry), 10+ years of experience in scientific research and 10+ years of experience in teaching. I am experienced in C, C++, CUDA C, C#, Matlab, Linux, Python, PySpark, Jupyter, TensorFlow, PyTorch (also w/ GPU), PyTorch Geometric, sparse datasets & matrices, Scikit-learn, R, Java, SQL and Mathematica.
Tel Aviv University
Doctor of Philosophy (Ph.D.), Physics
January 1, 2005 – January 1, 2009
Tel Aviv University
Master of Science (M.Sc.), Physics
January 1, 2002 – January 1, 2005
Tel Aviv University
Bachelor's Degree, Physics and Computer Science
January 1, 1999 – January 1, 2002
Neustar, Inc.
Data Science Manager
July 1, 2021 – Present
San Diego, California, United States
Webroot
Principal Software Engineer
November 1, 2018 – July 1, 2021
Webroot
Sr. Software Engineer - Machine Learning
April 1, 2017 – July 1, 2021
Webroot
Software Engineer – Machine Learning
September 1, 2015 – April 1, 2017
NetDragon Websoft Inc.（网龙网络有限公司）
Software Developer
September 1, 2014 – September 1, 2015
UC San Diego
Postdoctoral Fellow
April 1, 2011 – August 1, 2014
Ben Gurion University
Postdoctoral Fellow
October 1, 2009 – March 1, 2011
Tel Aviv University
Ph.D. Student
January 1, 2005 – January 1, 2009
Regression Models - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Developing Data Products - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research - John Hopkins University - Grade 99/100
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Data Science Specialization
John Hopkins University
June 24, 2026 – Present
R Programming - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data - John Hopkins University - Grade 100/100
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background in both academic research and industry roles, including several acquisitions, suggests adaptability and resilience. Their diverse experience across physics, software development, and data science indicates a broad intellectual curiosity and ability to learn new domains. The certifications in Data Science from Johns Hopkins University further highlight a commitment to continuous learning and skill development, which aligns well with a culture of growth and innovation. However, the target role is 'Data Analyst' while the candidate's experience is heavily skewed towards 'Data Science' and 'Machine Learning Engineering', which might indicate a potential mismatch in the day-to-day responsibilities and depth of analytical work expected versus their senior-level data science expertise.
Soft Skills & Operational Fit
The candidate's extensive experience in leading software projects and working closely with product, engineering, and client teams suggests strong collaboration and communication skills. Their history of inventing algorithms and publishing research indicates a proactive and innovative mindset. The progression through various roles at Webroot (Software Engineer to Principal Software Engineer) demonstrates growth and leadership potential.