Senior Data Scientist

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and governance. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team with a passion for innovation and next-gen technology. BigID has been recognized for being one of CNBC’s Top 25 Startups powering the economy, we're on Built In's 2023 Best Places to Work, one of America's fastest-growing companies, Inc5000 2023, 3 years running, one of the 20 coolest identity access management and data protection companies, CRN Security 100 2023, a Market Leader in DSPM at the 11th annual Global InfoSec Awards (Cyber Defense Magazine) and 2023 Disruptor Gold Winner - Most Disruptive Cyber Security Software, Globee Awards.

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who we seek:

We are looking for a data scientist/machine learning engineer who can bring innovative machine learning ideas from conception to realization.

What you'll do:

As a data scientist at BigID you'll develop state-of-the-art machine learning and neural network algorithms to solve complex security-related NLP challenges. The end products of the data science team at BigID are scalable production services and machine learning models that make sense out of many petabytes of privacy/security-related databases.

What you'll bring:

• B.Sc./M.Sc in Computer Sciences / Mathematics / Statistics or equivalent.
• Highly proficient in Python.
• 5+ years of proven experience in Machine Learning, Statistical Modelling, and Pattern Recognition.
• Proven experience in bringing an ML algorithm from idea to productization.
• Experience with open source Machine Learning toolkits: tensorflow, keras, scikit-learn, pandas, numpy.
• Experience with data engineering - strong advantage.
• Experience with NLP toolkits such as NLTK, SpaCy, OpenNLP, etc. - strong advantage.
• Experience in document clustering/sentiment analysis/word vectors/embedding - strong advantage.
• Experience with NoSQL and BigData - Hadoop/Hive/HBASE, Cassandra, MongoDB, etc - advantage.
• Experience with distributed architecture, microservices, message queues, REST API - advantage.
• Knowledge in container technology (Docker) and cloud services (IaaS, PaaS) - advantage.
• Team player, willing to work in a dynamic startup environment.
• Reliable self-starter capable of working with a high degree of autonomy.