Data Scientist, Risk

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Level, we believe using your benefits should be as easy as buying a cup of coffee. We’re unlocking the full value of compensation by rebuilding benefits as a simple payments experience — fast, flexible, and transparent. Our mission is to empower people to build better financial futures, and we’re accomplishing that by transforming the status quo of benefits.

Level is a B2B2C fintech company comprised of a diverse team from industry-leading companies like Square, Oscar, Google, Uber, and Airbnb. Together, we’re creating a new payments tech stack to help employers offer more accessible and personalized benefits for their teams — and this is just the beginning.

At Level, collaboration is our superpower. By leveraging each other’s strengths and curiosity, we’ve been able to build a best-in-class product, culture, and business. Plus, our employee benefits are so awesome that we let our customers buy them too.

What You'll Do:

• Identify and scope product challenges that are ripe for data science solutions—like risk modeling, data-informed insurance plan design, dentist search optimizations
• Work cross-functionally to inform data collection, productionize data science work, and integrate machine learning into the product
• Drive new features and improvements across all our products and services by finding innovative ways to use data to help customers
• Build the infrastructure that allows us to scale by defining analytic requirements, developing analysis plans, and ensuring data quality standards

Who You Are:

• 5+ years of industry experience in relevant roles such as data scientist, data analyst, or data engineer
• Strong product sensibilities
• Critical thinking, problem solving, and analytical skills
• Clear and effective communication style
• Prior experience in risk modeling, forecasting, or working with time series data
• Prior experience working with dirty or high-dimensional, categorical data
• Prior experience productionizing data science work
• Experience with SQL, proficiency in one scripting language like R or Python working in a collaborative development environment, and willingness to pick up new programming languages
• Bonus: Prior experience working with healthcare and insurance data, and experience leading a team of Data Scientists and Data Analysts

Our technologies

These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.

• Python
• MySQL
• GitLab
• Amazon Web Services (AWS)
• ElasticSearch
• Kubernetes
• Looker
• Go
• Protobuf / gRPC

What We Offer:

• Have the chance to work at a leading innovator and trailblazer in the world of insurance and payments.
• Competitive salary and equity
• 100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
• Flexible vacation policy - take the time you need when you need it!
• Fully Paid Parental leave for 3 months
• Quarterly Company sponsored events
• Internal learning and development programs