About Us
We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews), and prolific ($74 billion+ in coverage provided).Role
Ladder is hiring a Data Scientist, Product Analytics as an analytical expert for a specific product. This position collaborates with product, design, and engineering to help Ladder fulfill its mission. The Data Scientist, Product Analytics, is responsible for driving quantitative analysis to inform and help determine how we build and iterate on our product. They are also responsible for conducting exploratory data analysis to identify data patterns which inform Machine Learning and UX experiments. This is a hybrid role reporting into our Palo Alto headquarters onsite 2-3 days per week. Please note, Ladder in not sponsoring Visa's (CPT, OPT, H1-B, etc) at this time.Determine actionable, data-driven recommendations on feature development and prioritization based on a deep understanding of user engagement and behavior.
Partner with Product, Engineering, and Design teams through the full product lifecycle, from ideation and exploratory analysis to goal setting and measuring impact.
Define KPIs, build dashboards to monitor performance, and conduct root cause analysis to understand business drivers and providing Ladder with actionable insights.
Collaborate with engineering to design scalable data infrastructure.
Design and analyze A/B tests to assess the impact of product changes.
Requirements
3+ years of experience in data science conducting quantitative analysis on large datasets, or an equivalent analytical role (preferably at a consumer tech company).
Expert level experience in using SQL to extract and analyze complex data sets.
3+ years of experience in using statistical techniques, including demonstrated experience in the following:
Descriptive statistics (mean, median, standard deviation, etc.).
Inferential statistics (hypothesis testing, confidence intervals).
Regression analysis (linear, logistic, multiple regression).
ANOVA (Analysis of Variance).
Time series analysis.
Statistical process control (SPC).
2+ years of experience in product experimentation (i.e. A/B testing).
2+ years of experience in building dashboards using analytics tools like Tableau, Looker, Sigma etc.
Excellent communicator with the ability to communicate complex analyses to stakeholders to influence product strategy.
Self-starter with a strong desire to own projects end-to-end.
Impact-focused, eager to jump in and work in a fast-paced environment.
Collaborative nature, forming trusting relationships with your cross-functional teammates.
BS in Computer Science, Data Science or related field.
Nice to haves:
1+ years of experience in supporting product teams in direct-to-consumer space (B2C).
1+ years of experience in building statistical and/or AI/ML models.
Experience working in a regulated industry (finance, insurance, healthcare, etc) a plus.
What we offer -
Whether you work in our beautiful office in Palo Alto or remotely, Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:
- Excellent medical, dental, and vision coverage | We offer competitive healthcare and dental plans for you and your family.
- Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure.
- Stock options | We offer competitive stock option packages to participate in the success of building Ladder.
- A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
- Commuter benefits | When you work from the office, you will receive pre-tax benefits for your commute and free parking.
- A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and catered lunches so that team members can work well and have fun together.
- Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
- Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time $500 remote office stipend for all team members and then a monthly $150 stipend to cover WFH costs such as the internet.
Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.
The base pay range targeted for this position is $120,000 - $160,000 per year. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. This role is eligible for equity and benefits as shared above.
Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. We look forward to hearing from you.
By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection.
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