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 analysts like yourself.
Our data team serves Policygenius through data engineering, data analysis and data science. Our goal is to help uncover opportunities and make decisions with data. We partner with Product, Design, Engineering, Marketing and numerous stakeholders across the company to develop deeper predictors of behavior and build solutions to optimize our internal and external experiences.
In this role, you will…
- Work collaboratively with the Business Development and Partnerships team to assist them on the three fronts of analytics: monitoring and measurement, research and experimentation, and helping to drive the analytics roadmap
- Drive analytical projects such as partnerships optimization and dynamic pricing strategies
- Help our teams move beyond visualizations and utilize inferential and causal modeling to uncover deeper trends from a quantitative perspective, and design and test interventions
- Create visualizations intended to monitor business performance or uncover interesting trends to investigate
- Lead the test and learn process we use for exploratory data analysis and A/B testing. This includes helping stakeholders decide on testing strategy, generating baselines, approximating sample sizes and performing analysis of test results
- Partner with data engineering on new data pipelines and ingestion requests as well as advise on data model improvements
- Wrangle and stitch together many disparate data sources and uncover deep insights to drive your team forward
- Mentor data analyst team members and learn from data scientists to advance into predictive and algorithmic solutions
- Drive data analysis code best practices and analysis standards
We’d love to hear from you if…
- You have 5+ years of analytics experience focused on analyzing data centered around strategic pricing, vendor evaluation, and campaign impact analysis
- You have experience pulling data from third party sources such as Facebook and Google and can combine with internal data sources
- You are proficient with analytics platforms and code in R or Python, use SQL/relational cloud databases efficiently
- You have hands-on experience building custom applications (e.g. R Shiny) to create a dynamic interface for non-technical partners to plan modeled scenarios
- You understand statistics and base models such as linear and logistic regression and segmentation methods and time series analysis, outlier and anomaly detection, categorical data analysis, and causal impact modeling
- You are well versed with marketing techniques, consumer facing marketing and product metrics such as cohort analysis, LTV / CAC, and campaign optimization
- You have experience with designing and analyzing experiments including but not limited to A/B and multivariate testing
- You have experience with relational cloud databases like Redshift, BigQuery, Snowflake, but also comfortable working with unstructured files and datasets
You can expect...
- Company-paid health, dental, vision, life & disability insurance
- 401(k) plan, FSA & 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, 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
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!
Policygenius is America's leading online insurance marketplace. We launched in 2014 and made our mark as an early insurtech pioneer. Our mission is to help people get financial protection right — and feel good about it — and we make it easy for our customers to understand their options, compare quotes, and buy insurance, all in one place. We’ve helped more than 30 million people shop for all types of insurance like they shop for everything else — online — and have placed over $60 billion in coverage. In early 2020, we announced our Series D funding round of $100 million, bringing our total funding to just over $150 million.
At Policygenius, we’re proud of building an environment that encourages our teammates to bring their authentic selves to work. Despite rapid growth (we’ve doubled in size year over year!), we’ve continuously maintained our inclusive culture through humility, hard-work, and humor, 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 is 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!