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Senior Data Scientist - job 1 of 7

You could work anywhere. Why us?

  • Join a pre-IPO startup with capital, traction and runway ($240M funded | 40X revenue growth in 4 years | $2T market size)

  • Work closely with brilliant leaders and team mates who have scaled companies like Nvidia, Better, Nerdwallet, Wayfair, Sofi, etc.

  • Disrupt a massive market and take us to a $5B business in the next few years

  • Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

We are looking for a Senior Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy. Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions. As the lead data science partner supporting our growth teams, you will play a critical role in helping us go from 5M to 50M customers and become a $5B business in the next few years.

Jerry is building the first AllCar™ super app to help people optimize all aspects of owning a car – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot and voicebot. We have amassed over 5M customers, raised $240M in funding, scaled our revenue 40X and our team to 250 across 7 countries.

How you will make an impact:

  • Define, understand, and test levers to drive profitable and scalable user acquisition across our paid and organic channels

  • Design, run, and analyze A/B experiments across different channels, extract key insights, share learnings and continue iterating

  • Build key reports, dashboards, and predictive models to monitor the performance of our paid ads and marketing channels, communicate analytical outcomes to our teams, and make recommendations on next steps

  • Transform and refine raw production data for analytical needs

Preferred experience:

  • Bachelor’s degree in a quantitatively or intellectually rigorous discipline

  • A few years of consulting experience (MBB preferred)

  • Prior experience with customer acquisition or performance marketing

  • High level of comfort with SQL and Python (or similar ML programming language)

Who you are:

  • You have a framework for problem solving and live by first principles

  • Comfortable communicating with audiences varying from front-line employees to the company’s C-suite

  • You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

Jerry is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.

Jerry is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@getjerry.com

About Jerry:

Jerry is America’s first and only AllCar™ app. We are redefining and radically improving how people manage owning a car, one of their most expensive and time-consuming assets. 

Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry does it all.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. 

Jerry was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

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What You Should Know About Senior Data Scientist, Jerry

If you're ready to take your Data Science career to new heights, Jerry is where you want to be! We’re on the lookout for a Senior Data Scientist to be based in the vibrant city of San Francisco. Imagine being part of a pre-IPO startup that has already secured $240 million in funding and achieved a remarkable 40X revenue growth within just four years. At Jerry, we’re not just any startup; we're the pioneers behind the AllCar™ super app that’s set to transform the car ownership experience for millions. As a Senior Data Scientist, you’ll collaborate with a team of incredible leaders and experts from well-known companies such as Nvidia and Wayfair, all while working towards our ambitious goal of scaling from 5 million to 50 million customers. Your role will include diving deep into data to inform our marketing strategies, building attribution models, and conducting experiments that help identify efficient acquisition channels. You’ll be in the driver’s seat when it comes to making pivotal decisions that will take Jerry to a $5 billion business. We’re seeking someone inquisitive, analytical, and equipped with a Bachelor’s degree in a rigorous field. Whether you come from a consulting background or have experience in customer acquisition, you’ll need to be comfortable with SQL and Python. So, if you're excited about data-driven insights and want to contribute to something that’s reshaping a $2 trillion market, check us out—Jerry is the place to accelerate your career!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Jerry
What are the main responsibilities of a Senior Data Scientist at Jerry?

At Jerry, a Senior Data Scientist will take on crucial responsibilities that include running analyses, building attribution models, and designing experiments to guide our marketing efforts. You will be key in driving scalable user acquisition by transforming data into actionable insights that enhance our growth strategy.

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What qualifications are needed for the Senior Data Scientist position at Jerry?

To apply for the Senior Data Scientist role at Jerry, you should possess a Bachelor’s degree in a quantitatively rigorous discipline. Previous experience in consulting, particularly at a top firm like MBB, and familiarity with performance marketing are also highly valued. Additionally, candidates must be proficient in SQL and Python.

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How does the Senior Data Scientist contribute to Jerry's customer acquisition goals?

The Senior Data Scientist plays a vital role in Jerry's customer acquisition by analyzing data to determine efficient marketing channels and running A/B experiments. This position ensures that decisions are backed by solid data insights, helping us grow our customer base significantly.

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What tools and technologies will a Senior Data Scientist at Jerry use?

As a Senior Data Scientist at Jerry, you will utilize tools like SQL for data querying and Python for data analysis and model building. Familiarity with data visualization tools to create dashboards and reports will also be beneficial in communicating your findings effectively to stakeholders.

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What is the company culture like for a Senior Data Scientist at Jerry?

At Jerry, the company culture is centered around innovation and collaboration. You will work with curious, passionate people who value teamwork and exciting challenges. The environment is designed to foster growth, offering opportunities to accelerate your career within a rapidly scaling organization.

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Common Interview Questions for Senior Data Scientist
Can you describe a successful data project you have worked on?

When answering this question, focus on a specific project where your insights made a significant impact. Detail your role, the methodologies you used, the outcome, and how it contributed to the business objectives.

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How do you approach A/B testing in your data analysis?

Explain your systematic approach to A/B testing, including how you formulate hypotheses, define success metrics, and analyze results. Emphasize the importance of controlling variables to ensure valid results.

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What tools do you prefer for data analysis and why?

Discuss your favorite tools like SQL, Python, or any data visualization software you have experience with. Highlight their features that aid in efficient data analysis and reporting.

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How do you prioritize tasks and projects when managing data requests from multiple teams?

Talk about your strategy for assessing project urgency and importance. Discuss leveraging frameworks like the Eisenhower Matrix or Agile methodology to prioritize effectively based on business impact.

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How do you ensure data integrity and accuracy in your analyses?

Emphasize the importance of data preprocessing, validation techniques, and regular audits of your data sources. Share specific strategies that have worked for you in past roles.

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Describe a challenging problem you faced with data and how you resolved it.

Share a specific scenario where data complexity led to challenges, detailing your analytical thought process, tools used, and steps taken to arrive at a solution.

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Can you explain the difference between supervised and unsupervised learning?

Simply clarify the distinction between the two learning types—supervised learning uses labeled data to make predictions, while unsupervised learning identifies patterns in data without predefined labels. Provide examples of each type.

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How do you communicate complex data findings to a non-technical audience?

Illustrate your approach to simplifying data concepts using clear visuals, relatable analogies, and focusing on actionable insights. Mention experiences where this skill has proven crucial.

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What metrics do you think are most important for evaluating customer acquisition strategies?

Discuss key performance indicators such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), conversion rates, and churn rates, explaining why these metrics are vital for strategic decision-making.

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Why do you want to work as a Senior Data Scientist at Jerry?

Express your enthusiasm for Jerry’s mission to revolutionize car ownership and your eagerness to contribute to its data-driven culture. Highlight specific aspects of the company that resonate with your career goals.

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Jerry is redefining car ownership with its innovative AI-powered AllCar™ app, offering comprehensive solutions for insurance, financing, maintenance, and safety, driven by a team passionate about enhancing the driving experience.

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CULTURE VALUES
Social Impact Driven
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
Customer-Centric
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Full-time, remote
DATE POSTED
January 2, 2025

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