Sr. Data Scientist

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. 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 passionate about innovation and next-gen technology. BigID has been recognized for: 

• BigID Named Hot Company in Artificial Intelligence and Machine Learning at the 2024 Global InfoSec Awards
• Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
• CRN 100 list named BIgID as one of the 20 Coolest Identity Access Management And Data Protection Companies Of 2024 (2 years running)
• DUNS 100 Best Tech Companies to Work For in 2024
• Top 3 Big Data and AI Vendors to Watch' in the 2023 BigDATAwire Readers and Editors Choice Awards
• 2024 Inc. 5000 list for the 4th consecutive year!
• Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

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’re looking for a Senior Data Scientist for the BigID Data Science team. Our Data Science team deals with huge-scale security and privacy-related ML challenges. As a Senior Data Scientist, you'll be responsible for bringing innovative machine learning algorithms from conception to realization. 

What you’ll do:

• Research and develop state-of-the-art machine learning and neural network algorithms to solve complex privacy and security-related challenges. 
• Implement the research products of the data science team as scalable production services and machine learning models.
• Build products that extract insights out of petabyte-scale databases. These insights help our customers to better control and protect their databases. 

What you’ll bring:

• B.Sc./M.Sc in Computer Science, 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.
• Team player, willing to work in a dynamic startup environment.
• Reliable self-starter capable of working with a high degree of autonomy.

Advantages:

• Experience with data engineering - strong advantage.
• Experience with LLMs, prompt engineering, agentic workflows - 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.

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements - for parents, for remote workdays, etc.
• Office perks: dog-friendly environment, fully stocked fridge, gym, and exercise classes, weekly Happy Hours, free parking, evening meals
• Knowledge training & Career development tracks

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try- We try our best and we don’t give up
• Shine- We shine and make it our mission to always stand out

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BigDiversity: We’re committed to creating a culture of inclusion, diversity, and equality – across race, gender, sexuality, disability, and neurodiversity – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.

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