Job Qualifications:
Strong engineering background
Proven successful record of leading teams of experienced software engineering, data engineering, data scientists, data product owners, and business analysts, with clear KPIs and results that moved the needle, on large scale, operating in international environments.
R&D Delivery oriented: Algorithms, processes, and specifications
Proven Head of level management experience and skills
Strong communication skills, participate in fact-paced senior management discussions
A Ph.D. or M.Sc. in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering, CS)
Hands-on experience building machine learning models with cloud-based infrastructure or services
ADVANTAGES:
Agile certification, such as SAFe or others
Experience working with massive scale infrastructures like Kafka, Cassandra or similar
Previous Hands-on Experience with modern ML frameworks like Caffe, etc
Prior experience in product or engineering positions for a large scale SaaS or PaaS product
Proven experience managing blend of research, and engineering teams
Ability to communicate complex data concepts and products to business minded individuals
Years of Experience:
7+ years