Senior Data Scientist - Machine Learning

Data Science at Policygenius...

Policygenius continues to disrupt the insurance industry by delivering innovative technology-driven experiences. We are advancing our tech capabilities and learning to leverage our hordes of data to develop innovative machine learning applications. We are relentless in our drive to reliably deliver outstanding products at scale. We are growing fast, but we can go further faster with experienced, collaborative, challenge-seeking Data Scientists like yourself.

Our data team serves Policygenius through data engineering, data analysis, and data science. Our goal is to help uncover opportunities and drive decision making with data. We partner with numerous stakeholders throughout Marketing, Product, Design, and Engineering to develop deeper predictors of behavior and build solutions to optimize our external and internal experiences.

Individuals who reside in Alaska, California, Colorado, Montana, Nevada, and Rhode Island are not eligible for this remote role.

Base salary for a successful applicant in this role is expected to be $130,000 - $172,500 per year. In addition, employees at Policygenius can expect generous benefits and may be eligible for equity. Final offer amounts are determined by factors such as location, experience and expertise.

In this role, you will…

• Take complicated problems and translate them into data problems that can be solved using algorithms and mining many disparate data sources using our databases and SQL and other unstructured data sources
• Develop machine learning based applications using supervised and unsupervised models using R or Python that optimize and personalize customer marketing experiences or reduce manual effort on our internal teams through automated decision making
• Develop and support Mixed Media Models and Multi-Touch Attribution
• Partner with data engineering to take your model from development to deployed infrastructure
• Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines 
• Brainstorm future use cases and contribute to the learning culture of the data science team
• Partner with and mentor other data scientists and data analysts
• Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. 
• You will communicate with a team and articulate ideas to both team members and non-technical stakeholders
• You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation

We’d love to hear from you if…

• You have Marketing Data Science experience building and validating machine learning and forecasting models in R or Python
• You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, naive bayes, k-means clustering, hierarchical clustering, HDSCAN, mixture models, or reinforcement learning
• You have experience with Mixed Media Models or Multi-Touch Attribution
• You have experience working in an agile business setting
• You have experience with relational cloud databases like Redshift, BigQuery, Snowflake, but also comfortable working with unstructured files and datasets

Technologies you will use…

• Python or R for machine learning algorithms and analysis. 
• Google Cloud Platform: Kubernetes, Cloud SQL, Cloud Functions, PubSub, BigQuery, DataStore, and more: we keep adopting new tools as we grow!
• Airflow for data pipelining.
• Tableau for data visualization and consumer facing dashboards.
• Many more to come! 

You can expect…

• Company-paid health, dental, vision, life, and disability insurance
• 401(k) plan, FSA, and commuter benefits
• Generous PTO
• A flexible-first workplace with the freedom to work in our beautiful offices or remotely as needed based on the needs of your role, your team, and the business
• The opportunity to grow alongside a company shaking up a big, old-fashioned industry, including training, mentorship, and coaching from leadership
• An inclusive community of fun, diverse, and open-minded coworkers committed to our mission of helping people get financial protection right

About Policygenius

Policygenius is the online insurance marketplace combining cutting-edge technology with the expertise of real licensed agents to help people get the coverage they need to protect their family, property, and finances with confidence. Since 2014, we've served as a resource for millions of people on their insurance journeys, and we've placed more than $160 billion in coverage. Our $125 million Series E in early 2022 brought our fundraising total to over $250 million.

At Policygenius, we've worked hard to maintain an inclusive culture amid our rapid growth. We’re proud of building an environment that encourages our teammates to bring their authentic selves to work, and we're looking for more people with grit, collaborative attitudes, and creative problem-solving skills to join our team. Come see why we’ve been voted one of Inc. Magazine's "Best Workplaces" four years in a row!

Diversity at Policygenius

Policygenius believes differences should be celebrated, and we're committed to building a team as diverse as the customers we serve. We welcome different perspectives and opinions to foster innovation, authenticity, and excellence across all parts of our company, and are committed to providing employees with a work environment free of discrimination and harassment.

As an Equal Opportunity Employer, Policygenius highly encourages applicants from all walks of life. All employment decisions at Policygenius are based on business needs, job requirements, and individual qualifications without regard to actual or perceived race, color, sex, pregnancy, sexual orientation, gender identity or expression, age, national origin, political affiliation or belief, religion, disability, uniformed service, marital status, or any other status protected by law.

Come join the team!