Senior Data Scientist
at Clearcover
Remote, Oregon, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 18 Sep, 2024 | Not Specified | 18 Jun, 2024 | 5 year(s) or above | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
WHO’S CLEARCOVER?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
WHAT IS A SENIOR DATA SCIENTIST AT CLEARCOVER?
Clearcover has an enormous range of opportunities around data science and machine learningranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning, AI, and generative AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
Responsibilities:
- Build, prototype, and deploy state-of-the-art machine learning models and generative AI systems to solve real business problems
- Communicate, interpret, and explain modeling output to stakeholders
- Measure value of the machine learning models we deploy
- Lead, coach, and mentor junior data scientists
- Review machine learning models and code
- Strategize with our product managers and business stakeholders to identify and scope the highest value data science problems
- Explore and understand our data and how they can feed production-grade machine learning models
- Proactively utilize data and business understanding for feature engineering
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Remote, USA