Senior Data Scientist

Summary

Join BigID, a leading data security and privacy tech startup, as a Senior Data Scientist. You will be part of a dynamic team tackling large-scale machine learning challenges. Responsibilities include researching and developing cutting-edge machine learning algorithms, implementing these algorithms as scalable production services, and building products that extract insights from massive databases. This role requires a strong background in machine learning, statistical modeling, and Python programming, along with proven experience in bringing ML algorithms to production. BigID offers a comprehensive benefits package, including equity participation, flexible work arrangements, and various office perks.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience with data engineering
• Experience with LLMs, prompt engineering, agentic workflows
• Experience in document clustering/sentiment analysis/word vectors/embedding
• Experience with NoSQL and BigData - Hadoop/Hive/HBASE, Cassandra, MongoDB, etc
• Experience with distributed architecture, microservices, message queues, REST API

Benefits

• Equity participation
• Flexible work arrangements
• Office perks: dog-friendly environment, fully stocked fridge, gym, and exercise classes, weekly Happy Hours, free parking, evening meals
• Knowledge training & Career development tracks