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OBSERVE, LLC
San Mateo, CA, United States
About Us: Observe is a SaaS Observability product that enables businesses to investigate modern distributed applications 10x faster. Observe ingests anything with a timestamp (e.g. system and application logs, metrics, and traces), and then structures that data so that it is correlated and easy to navigate. We enable engineers to spend more time
Job Source: OBSERVE, LLCLadder
Palo Alto, CA, United States
Ladder 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,
Job Source: LadderMETA
Sunnyvale, CA, United States
Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help
Job Source: METAMETA
Burlingame, CA, United States
Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help
Job Source: METANext Insurance
Palo Alto, CA, United States
Location: Palo Alto, CA (hybrid) NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find NEXT. Since
Job Source: Next InsuranceF. Hoffmann-La Roche AG
San Jose, CA, United States
The Position Genentech, Inc. seeks an Analytical Data Scientist in its South San Francisco, California location. Duties: Within global healthcare company, manipulate and analyze various data types related to clinical trials, such as patient characteristics, lab values, genomic data, and biomarkers. Perform complex statistical analysis on experime
Job Source: F. Hoffmann-La Roche AGDice
Menlo Park, CA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Meta Platforms, Inc. (f/k/a Facebook, Inc.), is seeking the following. Apply via Dice today! Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Data Scientist, Analytics: Apply your expertise in quantitative
Job Source: DiceF. Hoffmann-La Roche AG
San Jose, CA, United States
The Position Genentech, Inc. seeks an Analytical Data Scientist in its South San Francisco, California location. Duties: Within global healthcare company, manipulate and analyze various data types related to clinical trials, such as patient characteristics, lab values, genomic data, and biomarkers. Perform complex statistical analysis on experime
Job Source: F. Hoffmann-La Roche AGPalo Alto, CA, United States
About Ladder
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 salesy 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 ($34 billion+ in coverage provided).
About The Role
Ladder is looking for a Data Scientist to be the analytical expert for a specific product area and collaborate with product, design, and engineering to help Ladder fulfill its mission. You will be responsible for driving quantitative analyses that will inform how we build and iterate on our product.
If you're interested in doing mission-driven work with smart, caring people, we’d love to hear from you.
How you'll make a difference
Make actionable, data-driven recommendations about 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, providing the the company with actionable insights
Collaborate with engineering teams to design scalable data infrastructure
Design and analyze A/B tests to assess the impact of product changes
Report to the Head of Product Analytics and collaborate closely with the lead Product Manager
Who you are
3+ years of experience in data science conducting quantitative analysis on large datasets, or an equivalent analytical role (preferably at consumer tech company)
Mastery using SQL to query large data sets
Strong understanding of statistics or experimentation (i.e. A/B testing)
Experience communicating the results of analyses to product leadership teams to influence the strategy
Desire to own projects end-to-end, take initiative in identifying and improving established processes, learn new skills, and teach others
You are impact-focused, eager to jump in and work in a fast-paced environment
You are collaborative, forming trusting relationships with your cross-functional teammates
What we offer
Benefits
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 and vision 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, including an extended option exercise window of 7 years after two years with Ladder.
A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
Ladder Fit Program | Your health matters. That’s why Ladder provides reimbursement of up to $50 a month for wellness-related expenses.
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 daily 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.
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. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.
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Email Alert for Data Scientist, Product Analytics jobs in Palo Alto, CA, United States
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