Lead Data Scientist at Clearcover

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 Lead Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead 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 and 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.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work 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 
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology 
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree 

But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!  Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.