Senior Data Scientist / Machine Learning Engineer
/ Tel Aviv
What We’re About
We’re an experienced and diverse team focused on solving one of the biggest challenges CIOs and CISOs have - allowing development teams to move fast without compromising on security controls and risk management. we’re looking for strong and fun people to join us and take a significant part in shaping our technology, product, and culture.
What You’re About
You have at least four years of experience in data scientist / algorithm development positions, proficiency in machine learning, NLP and statistical models. You have a solid software engineering background and hands-on experience (writing code for production).
You are experienced with solving complex data science problems from ideation to production and writing code in Python using Python data-science frameworks. You are well experienced with multiple programming languages as C#, java, node.js, as well as with cloud tools and cloud ML platforms.
You have a Ph.D./M.Sc. in math, physics, engineering, computer science, or an equivalent science degree.
Preferably, you have experience with the cybersecurity industry, Startups environment and you have led a team of data scientists, and built data infrastructure.
What You Will Do
You will be a part of a strong ML/AI team, work on end-to-end ML projects from data extraction through model validation to model deployment.
You will engage in translating business and product requirements, goals, and challenges as well as customers’ feedback into data-pipelines and model framework.
Research, design, develop, test, and deploy models and systems by applying data-driven Machine Learning and AI solutions, from conceptual analysis to production - are all part of your role.
You will extract various types of data from external data sources to identify interesting and relevant features patterns. You will be required to utilize data mining techniques, perform statistical analysis, and build prediction models accordingly.
You will be presenting insights to customers, business, and engineering teams, while working closely with apiiro's team on data cycle-related processes - extraction, labeling, verification, and integrations.