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Senior Data Scientist

Who we are: 

Want to make an impact? Join our pack and come work (and play!) with us.


We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them.


Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We’ve got a reputation for being a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. 


At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees.


Who we're looking for:

We are looking for a Mid/Senior Data Scientist with experience in mentoring and leading larger projects, ensuring a high level of quality across the team. The ideal candidate will be excited to tackle a broad array of challenges in our two-sided marketplace, from machine learning to analytical problems, in a fast-paced, collaborative environment. We are particularly excited about candidates with experience in personalization (such as in Search, Recommendations), optimization or NLP.


What does Data Science mean at Rover?

At Rover we obsess over our customers’ needs, relying heavily on data to improve the customer journey, and to continuously optimize outcomes in our marketplaces. Our entire organization is metric driven and underpinned by data science and analytics. Data scientists are responsible for defining the right metrics, understanding nuanced marketplace dynamics, and developing models and algorithms that power our business and technology. 

You will be joining the Booking Data Science team, which works specifically on problems of matching (mostly through search and recommendations) and retention (through search and other initiatives in collaboration with Lifecycle Marketing and Operations).


As a Data Scientist in the Booking Data Science team you will:
  • Collaborate closely with business, product, marketing, and operations teams to pinpoint opportunities to create better matches and to increase relationship retention in our marketplace.
  • Develop and refine models that aim to improve matches between pet parents and pet care providers and to retain customers on our platform, utilizing predictive analytics and machine learning techniques.
  • Iterate on Rover’s search ranking algorithm by developing new contextual features, experimenting with different objective function formulations and researching possible improvements such as with distance, location, past user history. 
  • Dive deep into marketplace dynamics, extracting valuable insights and providing strategic recommendations to shape our product offerings, using your skills in data mining and data visualization.
  • Implement best practices in machine learning model development, deployment and monitoring, by working with Data Platform and prioritizing operational improvements. 
  • Design, build, and maintain robust data pipelines that serve as the backbone for informed decision-making, monitoring of our systems and features to our models.  
  • Perform statistical analysis to draw inferences, forecast future trends, and predict user behavior. You will also use statistics to estimate the expected impact of interventions or to establish causal relationships when A/B testing is not possible. 


Your Toolset Includes:
  • SQL - you would be comfortable leading a SQL 101 course
  • Proficient Python and the most common data science libraries – scikit-learn, xgboost, numpy, scipy, pandas
  • Data visualization (we use Mode as our data visualization tool, but you could have experience in any other tool or library such as Tableau, Sisense, Matplotlib, ggplot)
  • Experience with big data technology and infrastructure (e.g. Spark, Redshift, AWS) a plus 


Your Qualifications:
  • At least 4 years of experience in a business setting as a data scientist
  • BS in a quantitative discipline; advanced degree (MS or PhD) a plus
  • Understanding of foundational statistical concepts including probability, hypothesis testing, and experimental design
  • Robust foundation and in-depth experience with one or more modern machine learning or predictive modeling algorithms, such as ensemble methods, natural language processing (NLP) techniques, clustering algorithms or deep learning methods. Specifically, solid experience with personalization (in search, recommendations), optimization or NLP is highly valued. 
  • Experience working side-by-side with coordinated teams of developers, analysts, product managers, marketers, and operators
  • Experience in a two-sided marketplace is a plus 


Why We’ll Hire You:
  • You’re a deeply analytical thinker who is passionate about finding structure in data, and using data to drive real value to the end user (and thus the business).
  • You are excited both about analysis and model building. You’re not afraid to tackle ambiguous analytical questions or impactful production-facing models, depending on business needs. 
  • You are passionate about our core business. You will instinctively dig into every aspect of what it means to be a pet sitter and a pet owner on the Rover platform.
  • You can take abstractly defined problems and work with (imperfect) data to drive decisions.
  • You’re able to fit and interpret results of statistical models, as well as report on key assumptions and limitations.
  • You show a pattern of being self-started, self-taught and self-directed.
  • You favor open communication with willingness to ask and answer questions.
  • You are output- and outcome-oriented.
  • You have excellent written and verbal communication skills in English, with the ability to break apart complex processes for non-technical stakeholders.
  • You play nicely with others (and dogs).


Benefits of Working at Rover.com:
  • Competitive compensation
  • Hybrid or remote work supported
  • Permanent contract
  • Stock options
  • Private health insurance
  • Gym allowance 
  • Bring your dog to work (and unlimited puppy time)
  • Monetary help for adopting a dog plus yearly credit to use on our platform 
  • Flexible work hours, sometimes you’ll need to be in at certain times, but on the whole, we’re pretty flexible when it comes to managing workload and time
  • Grab snacks and fresh fruit in our kitchen to keep yourself going 
  • Regular team activities, including happy hours, game nights, and more 


Rover is an equal-opportunity employer committed to promoting a diverse, inclusive, and inventive environment with the best employees. We’re driven by seeing our people succeed and grow, and we work to ensure everyone contributes to their fullest potential. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, protected veteran status, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable laws, regulations, and ordinances.

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CEO of Rover.com
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Aaron Easterly
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What You Should Know About Senior Data Scientist, Rover.com

Are you ready to take your data science career to the next level? Rover, based in the vibrant city of Barcelona, is looking for a talented Senior Data Scientist to join our dynamic team. At Rover, we're passionate about connecting pet parents with trusted pet care providers, and data is at the heart of everything we do. In this role, you'll have the exciting opportunity to tackle complex challenges in our two-sided marketplace. You'll be collaborating closely with various teams to enhance customer experiences through machine learning and analytics. Your expertise will drive the development of models that improve matching capabilities between pet parents and caregivers, ensuring that everyone gets the love they deserve. If you're a problem-solver who thrives in a fast-paced environment and has a background in personalization, optimization, or NLP, this is the perfect role for you. You'll not only guide projects and mentor others but also be a key player in defining metrics and improving our customers' journeys. At Rover, we believe in fostering a supportive, innovative community where your ideas matter, and your furry coworkers are just as important as your human ones. Join us and help shape the future of pet care while enjoying a great work-life balance, competitive compensation, and a fun atmosphere that includes bringing your dog to work. Grab your chance to make a real impact in our lovely, pet-friendly space!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Rover.com
What are the key responsibilities of a Senior Data Scientist at Rover in Barcelona?

As a Senior Data Scientist at Rover, your responsibilities include collaborating with various teams to analyze our marketplace dynamics and drive improvements in the pet care experience. This involves developing and refining machine learning models to enhance matching algorithms and customer retention initiatives. You will also lead discussions on metrics, ensuring that your insights aid in strategic decision-making.

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What qualifications are necessary for a Senior Data Scientist position at Rover?

To be considered for the Senior Data Scientist role at Rover, you should have at least four years of experience in data science within a business setting. A solid understanding of machine learning algorithms, particularly in personalization, optimization, or natural language processing (NLP), is crucial. Candidates with advanced degrees in quantitative disciplines are highly valued.

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How does the role of Senior Data Scientist at Rover contribute to the company's mission?

The Senior Data Scientist at Rover plays a crucial role in enhancing our mission to connect pets with loving caregivers. By using data-driven insights to improve the matching process and customer retention, you'll significantly contribute to our goal of making pet ownership more joyful and accessible, ultimately benefiting pets and their owners alike.

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

At Rover, you'll work with a robust tech stack including SQL for database management, Python for data analysis, and various data science libraries such as scikit-learn and pandas. Familiarity with data visualization tools like Mode, and experience with big data technology such as Spark or AWS will also be advantageous in your daily tasks.

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What is the work culture like for a Senior Data Scientist at Rover in Barcelona?

Rover fosters a friendly and inclusive work culture where collaboration and open communication are prioritized. As a Senior Data Scientist, you'll join a fast-paced, supportive environment that values creativity and innovation, allowing you to thrive as you tackle challenges together with your team while enjoying pet-friendly practices.

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Common Interview Questions for Senior Data Scientist
Can you describe your experience with machine learning algorithms relevant to the Senior Data Scientist role at Rover?

It's vital to showcase your familiarity with diverse machine learning algorithms, particularly those related to personalization and optimization. Discuss specific projects where you successfully implemented models to solve real-world problems, emphasizing metrics and outcomes.

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How do you approach collaboration with non-technical stakeholders?

Demonstrate your communication skills by sharing examples of how you've translated technical concepts into layman's terms for stakeholders. Discuss your strategy for ensuring everyone is aligned on project objectives and decisions.

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What techniques do you use for analyzing marketplace dynamics?

Discuss your data analysis strategies involving data mining and visualization techniques. Mention any specific tools you prefer and how you interpret findings to suggest business improvements and product features.

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How do you handle ambiguous analytical questions?

Share your problem-solving mindset by discussing your approach to ambiguity. Highlight how you break down complex questions into manageable insights, leveraging data to form hypotheses and drive decisions.

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What is your experience with model deployment and monitoring?

Explain your experience in deploying machine learning models into production environments. Emphasize how you monitor their performance over time, ensuring continuous improvement and alignment with business goals.

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Can you give an example of a successful A/B test you've conducted?

Share a detailed example of a past A/B test, including the hypothesis, method of measuring success, and what insights you gained from the results. Highlight how you used those insights to inform future decisions.

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Describe your proficiency with SQL and data manipulation.

Elaborate on your SQL knowledge and the types of queries you regularly execute. Provide examples of how you've used SQL to extract insights from large datasets, impacting decision-making at your previous roles.

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What inspires you to work in the pet care industry?

Convey your passion for pets and the unique satisfaction that comes from leveraging data to improve the experiences of pet owners and caregivers. Share any personal anecdotes that tie your interests to Rover's mission.

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How do you prioritize workload in a fast-paced environment?

Discuss your strategies for managing time effectively under pressure. Share insights on how you stay organized, focus on high-impact tasks, and adapt to changing project needs.

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What do you believe is the most critical metric to track in a two-sided marketplace?

Discuss metrics that matter most in your opinion, such as matching success rates or user retention statistics. Explain why these metrics are vital for both pet owners and service providers and how you would analyze them.

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We believe in the unconditional love of dogs, and Rover exists to make it possible for everyone to experience this love in their lives. As we strive to achieve this mission, our core values guide us in how we conduct our business and ourselves. To...

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Full-time, hybrid
DATE POSTED
March 13, 2025

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