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data & AI
Tim Januschowski is a director of engineering at Databricks and site lead for the Databricks Berlin office. He oversees work on object storage & the Unity Catalog across Amsterdam and Berlin including aspects such as performance, security, usability for both Databricks customers and teams. Prior to Databricks he was an applied science director with a track record of ML in production for Zalando (pricing platform), AWS (DeepAR in Amazon SageMaker, Amazon Forecast, Amazon DevOps Guru and Amazon Lookout For Metrics), Amazon internal services (Labor Planning, retail forecasting, capacity planning) and open source (GluonTS) paired with >20 tier-1 publications and corresponding patents. He has experience in managing inter-disciplinary organizations involving multiple remote locations and job roles ranging from applied science, to business analytics, engineering and product management. Apart from management, Tim is technical and has a broad knowledge in discrete optimization, operations research, artificial intelligence, time series analysis (forecasting, anomaly detection, classification), AI for systems & systems for AI and related areas. He is passionate about scientific outreach and the popularization of machine learning techniques in related areas. His community service includes serving as a director at the International Institute of Forecasters and reviewing regularly for the major outlets in his area (e.g., NeurIPS, ICML, International Journal of Forecasting). Recently he has enjoyed teaching professionals and students. He actively advises and invests into early-stage enterprises.
University College Cork
Doctor of Philosophy (PhD), Theoretical Computer Science, Applied Mathematics
January 1, 2008 – January 1, 2011
IMPA, Rio de Janeiro, Brasil
Mathematics
January 1, 2004 – January 1, 2005
TU Berlin
Diplom, Mathematics (minor in Computer Science)
January 1, 2002 – January 1, 2007
Databricks
Director of Engineering & Site Lead Berlin office
February 1, 2024 – Present
Berlin, Berlin, Germany · On-site
Maven
Instructor: Modern Forecasting in Practice
August 1, 2023 – Present
Remote
Sphere
Instructor: Modern Forecasting in Practice
December 1, 2022 – July 1, 2023
WhyLabs
Technical Advisor
January 1, 2022 – January 1, 2024
Zalando
Director Pricing Platform
January 1, 2022 – February 1, 2024
Berlin, Germany
Amazon Web Services
Manager, Machine Learning Science
March 1, 2018 – December 1, 2021
Berlin Area, Germany
Amazon
Manager, Machine Learning
April 1, 2016 – March 1, 2018
Berlin
Amazon
Machine Learning Scientist
September 1, 2013 – April 1, 2016
Berlin
SAP
Researcher and Developer
September 1, 2011 – August 1, 2013
Potsdam
Technische Universität Braunschweig
Post Doc
May 1, 2011 – September 1, 2011
University College Cork, Ireland (UCC)
PhD Student
January 1, 2008 – April 1, 2011
University College Cork, Ireland (UCC)
Teaching assistant
January 1, 2007 – January 1, 2009
Zuse Institute Berlin
Student research assistant
September 1, 2005 – November 1, 2007
TU Berlin
Student
January 1, 2002 – January 1, 2007
Cultural Fit Analysis
The candidate's diverse experience across research, engineering, and leadership roles in prominent tech companies (Amazon, Databricks, Zalando, SAP) demonstrates adaptability and a broad understanding of different organizational cultures. Their involvement in scientific communities (publishing at NeurIPS, ICML) and instructional roles indicates a commitment to continuous learning and knowledge sharing, which aligns well with a culture of innovation and growth. The progression from Machine Learning Scientist to Director of Engineering and Site Lead shows strong career ambition and leadership potential.
Soft Skills & Operational Fit
The candidate's extensive experience in managing engineering and science teams at Amazon and Databricks suggests strong leadership, project management, and team collaboration skills. Their instructional roles indicate excellent communication and mentoring abilities. The focus on bringing algorithms to production and operating them implies a strong operational mindset and problem-solving capabilities.