Data Scientist

Build something meaningful – from scratch.

We need a Data Scientist who has the following flowing through their veins:

Curiosity. Innovation. Passion. Desire to make an impact.

An Insuretech startup, looking for key members with the ambition to build a company.

We are enabling a culture that does the right things for the right reasons so that we will develop meaningful, helpful, and engaged relationships that earn trust over a lifetime from our employees to our customers. We will emerge as a disruptor in the marketplace by prioritizing our customers’ needs and financial well-being above all else to provide them with peace of mind when planning for life’s most significant decisions.

What You will Do:

• Implement, refine and improve our comprehensive suite of metrics, analyses, tools and dashboards.
• Democratize data access through our data platform and deliver outcome driven use cases. (Example: end to end view of customer funnel within our BI tool.)
• Develop and deploy machine learning methods - initially focused on our customer experience. (Example: data about lifestyle, age, and other application specific data used to tailor a policy to match the needs of the insured)
• Collaborate with partners to oversee data governance and monitor data quality.
• Over time, apply principled methods to quantitative insurance challenges in areas such as estimating customer lifetime value, pricing and reserving, etc.

What You’ll Bring:

• Passion for data and technology.
• Knowledge of SQL, NoSQL databases and AWS cloud platform.
• Experience with BI tools. (Qlik, Tableau)
• You have 2+ years working as a data scientist – preferably within a start-up environment.
• You have an MSc+ in Computer Science, Engineering, Mathematics, Statistic, Analytics, or equivalent quantitative degree.
• Ability to present complex technical information in a clear, confident and concise manner to diverse audiences.
• You are comfortable with a flat structure and a highly collaborative environment.
• Ability to work effectively in cross-functional teams under tight deadlines.
• A team player and self-motivated.
• Balanced Skepticism. You continuously approach the work with a belief that data can solve every problem and your experience tells you that you may not know whether data can support the question being asked, but you’ll find out.
• You know real world data is messy. Your experience has shown that cleaning and prepping data takes a lot of time. You are comfortable moving on the data you have at the moment while continuously checking, improving, and applying the new data you discover.
• Hunger to learn and improve. Tools keep getting better. And because you’re curious and consistently scoping the field for new, more effective tools, you’re willing to give up a now-inefficient tool for a better one.
• You LOVE to complete work with a sense of urgency.

A Little About Us:

We are done with a traditional approach to financial service products – including insurance. That’s why we’re on a mission to create a direct-to-everyone experience that makes financial products easy to understand, easy to access, and easy to buy.

We’re new and we’re backed by the financial strength of champions. Literally.

If this job is what you do, you fit the criteria above, and you’re ready to disrupt an industry, we want you to apply. Today. Securitybenefit.com/careers and include a copy of your current resume. EOE

Experience

• 2 year(s): Experience working as a data scientist – preferably within a start-up environment.
• Experience with BI tools. (Qlik, Tableau)
• Knowledge of SQL, NoSQL databases and AWS cloud platform.

Education

• Masters or better in Statistics or related field
• Masters or better in Engineering or related field
• Masters or better in Computer Science or related field

Behaviors

• Detail Oriented: Capable of carrying out a given task with all details necessary to get the task done well
• Innovative: Consistently introduces new ideas and demonstrates original thinking
• Team Player: Works well as a member of a group