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
#LI-Remote
#LI-AT1
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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