Data Scientist II - Product Analytics

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.

Base salary for a successful applicant in this role is expected to be $100,000 - $140,000 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…

• Work collaboratively with our internal Product teams to assist them on several fronts of analytics: monitoring and measurement, research, and experimentation
• Drive analytical projects such as Product experimentation, analysis of marketing effectiveness and efficiency, and targeting 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, proper experimental design, 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
• Drive code best practices and analytics standards

We’d love to hear from you if…

• You have marketing or product analytics experience focused on analyzing data centered around customer acquisition, SEO, lifetime value, personalization, and campaign impact analysis
• You have experience consolidating data from various data sources and familiarity with events tracking management
• You are proficient with analytics platforms and code in R or Python, use SQL/relational cloud databases efficiently
• You understand statistics and base models such as linear and logistic regression and can quickly learn other techniques such as segmentation methods and time series analysis, outlier and anomaly detection, categorical data analysis, and causal impact modeling
• You have an understanding of business metrics such as CAC, LTV, Conversion Rates and can apply them to your decision making and prioritization as well as creating and managing analysis frameworks
• You have experience with designing and analyzing experiments including but not limited to A/B
• You have a drive to learn and master new technologies and techniques

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!