Staff Data Scientist
Remote
Applications have closed
Bold Penguin
Bold Penguin is a leading integrated digital solution platform dedicated to simplifying small commercial insurance. Our technology makes the quote and bind process quick, effortless, and profitable for all parties - agents, brokers, and...Powering the world of insurance is no small feat, so we’ve built a team that's incredibly talented and passionate about our potential to upgrade the entire industry. As more and more companies, big and small, depend on our technology to operate in the commercial insurance space, we’ll need the best talent all around to support our growth. That’s why we’re looking at you (yes, you!) to make a bold move and join our adventure.
YOUR ROLE Bold Penguin is seeking a Staff Data Scientist who will be responsible for the end-to-end development of models using various modeling approaches ranging from statistical techniques, to machine learning and deep learning. This includes taking high-level business challenges, translating them into a concrete quantitative framework, and shepherding solutions from R&D into production.
WHAT YOU'LL DO
- Work with Data Analysts to understand business problems and break them into components suitable for data science.
- Identify and design training data with Data Analyst and present the benchmarks of models for the Staff Data Scientist to review.
- Work with data science tools, e.g. SageMaker, ML Flow, Tensorflow, Python, Spark, SQL, etc. to build data models to quickly iterate on research ideas.
- Identify areas of improvement in models, methods and data and continually iterate and improve them.
- Work with Data Analysts and Data Engineers to get models into production at light speed!
SKILLS AND QUALIFICATIONS
- Hands on experience building and validating statistical and machine learning methods to real world problems.
- Strong programming skills with experience using modern packages in Python, and platforms like SageMaker, TensorFlow & MLFlow.
- Must have hands on experience in “best in class” Natural Language Processing libraries (BERT, Ulmfit, Spacy etc).
- Must have a graduate degree in Mathematics, Science or Computer Science/Engineering.
Bonus Qualifications
- Bonus points for Insurtech background or commercial insurance experience!Must have at least 6 years experience working as a data scientist working in a super fast, highly iterative and highly collaborative team
Tags: BERT Computer Science Deep Learning Engineering Linux Machine Learning Mathematics MLFlow NLP Python R R&D Research SageMaker spaCy Spark SQL TensorFlow
Perks/benefits: Career development Insurance Salary bonus Startup environment
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