A bit about us:
We are a fast growing company in the insurance industry looking for a hands on VP of Data Science to coach and grow our data engineering team which serves our entire global organization.
In this role, you will build out the department and lead the organization in the development of critical insight and the deployment of machine learning enabled workflows. On top of that, you'll be deploying data science to the organization broadly; creating automations for complex problems and needs a more sophisticated approach. You'll be working with underwriting/actuaries to build tools to make better decisions; working with marketing to build screening/lead gen models; they have the data repository (Python, xgBoost).
In this role, you will build out the department and lead the organization in the development of critical insight and the deployment of machine learning enabled workflows. On top of that, you'll be deploying data science to the organization broadly; creating automations for complex problems and needs a more sophisticated approach. You'll be working with underwriting/actuaries to build tools to make better decisions; working with marketing to build screening/lead gen models; they have the data repository (Python, xgBoost).
Why join us?
We offer a comprehensive compensation package including but not limited to:
- A highly competitive base salary ranging from $200K-$260K + 15-20% BONUS
- Full benefits (Medical, Dental, Vision)
- 401K with match
- Great work/life balance
- Opportunity to work alongside other brilliant engineers
Job Details
- Identifying opportunities to apply data science capabilities to legacy workflows
- Collaborating with the underwriting, claims, and actuarial teams to find commercial value using data science
- Working with the data engineering team to design and develop data platforms
- Leading and contributing to data analysis and modeling projects from project design, business review meetings with stakeholders, and deriving requirements
- Recruiting, leading, and mentoring a high performing data science team
- Developing our data science roadmap for all business functions
MUST HAVE, experience with:
- Programming - Python, SQL, and Spark
- Developing and deploying models into production
- Statistical modeling, time series analysis, and machine learning techniques including proficient knowledge methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, Regularization Regressions
- Developing algorithms and products with Natural Language Processing, Computer Vision, Image/Voice Recognition, Unsupervised Process and Pattern Mining using popular ML frameworks
- Data wrangling, data matching, and ETL techniques while programming in several languages to extract and transform data from a variety of data sources (Oracle, SQL, Hadoop)
- Manipulating and analyzing sophisticated, high-volume, high-dimensionality data from varying sources, including both structured and unstructured data
- Using appropriate tools to document all code, processes, and procedures
NICE TO HAVE, experience with:
- Open source data science packages and theircommercially supported versions
- CI/CD pipelines using Git and Jenkins
- Agile development processes.
- GIT
- JIRA
Please apply through the link or email your resume directly to roxy.kupfert@jobot.com!
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.