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Senior Data Scientist

Beyond logo

Location
United States
Beyond

Job Description

At Beyond, we power the business of Short Term Rentals through our cutting-edge, full-stack Revenue Management System. Venture-backed, we pioneered this space and have grown to be the globally dominant leader - obsessed with delivering value and performance to our customers. And the way we've been able to achieve those heights is our belief that People are the most important part of any business - starting with ours. We employ over 170 Beyonders across the globe who share in our commitment to making Beyond the best place to work.

It's with that in mind that Beyond is looking to add a Senior Data Scientist to our growing team. You will have the opportunity to leverage AI, ML, and statistical techniques to innovate on the core product at Beyond - our dynamic pricing algorithm for short-term rentals. You’ll work closely with experts from Revenue Management as well as data engineers to identify, design, test, and implement improvements using a modern data processing workflow and tools.

Before reading further...

Beyond is passionate about diversity and cultivating our team’s potential. If you’re hungry for a good opportunity, but don't meet every point in this job description, please apply anyway!

Our Engineering team believes in:

  • Reducing scope - The best way to control progress and test hypotheses is to prevent scope creep;
  • Shipping early - The best way to learn early is to ship early. No need to be perfect;
  • Iterating and improving - Once we get the feedback we need, we iterate and improve;
  • Taking ownership - The code we ship is our responsibility as we know it best, and we also take care of sharing knowledge so others can support it;
  • Delivering value - By focusing on providing the best customer experience possible, we improve acquisition, retention, and drive revenue.

As our Senior Data Scientist, you will be responsible for:

  • Collaborating with the Revenue Management team to prioritize deliverables and ensure timely, accurate execution, including overseeing the work of 2 Data Scientists.
  • Working with data engineers to handle data processing needs and shepherd algorithm changes into our production environment
  • Designing, and implementing sophisticated Machine Learning solutions and time series models to forecast trends and behaviors, optimize business processes, and enhance predictive accuracy in real-time decision-making environments to drive customers revenue performance
  • Mentoring fellow Data Scientists and promoting adoption of industry best practices

So what kind of person are we looking for in this role? The person who will be successful in this role will be:

  • Result-oriented - You manage the trade-offs between speed and quality and are able to find the right balance. You would rather ship, measure, learn and iterate, than coding the perfect component on the first try.
  • Collaborative - You enjoy exploring and committing as a team, you welcome others' ideas, and you value teamwork and team decision-making over being right and having things going your way.
  • Curious - You are driven to understand how things work or why they don't. You are interested in finding out how your work impacts our customers and the world they live in.
  • Resilient - You can adapt and roll up your sleeves to help others. You operate at a stable pace with visibility most of the time and you are ready to embrace change when it happens.

Now that we’ve told you what the job looks like, here are the qualifications we're looking for in a candidate:

  • 5+ years of experience as a Data Scientist, 10+ years of experience in SaaS overall
  • Expertise in Machine Learning and Statistical Analysis techniques such as STL/LOESS, SGD, Random Forests, MRL, etc.
  • Expertise in Python, SQL, pandas, scipy, scikit-learn, statsmodel, or other related Data Science frameworks
  • A demonstrated ability to produce models that measurably seize business opportunities or solve business problems
  • Experience in revenue management airlines industries, or subjects including pricing is a plus
  • Experience with Spark or similar data analysis frameworks is a plus
  • Experience designing and implementing validation via methods like A/B testing and synthetic controls is a plus

So what can you expect after you apply? Your application will be personally reviewed by a member of the Beyond hiring team and if there is a match in your experience and the role, you will:

  • Have a video conversation with someone on our Recruiting team. This is a high-level conversation about your experience and interest, but also an opportunity for you to learn more about us
  • Interview with the hiring manager
  • Complete a skills assessment screening
  • Complete a technical Interview
  • Have a final interview with our VP of Engineering

Company Values:

We are serious about our core values: We Care, We Are On the Same Team, We Inspire Trust, We Go Beyond, We Ship It, We're Curious. If those resonate with you, and you're ready to work with a team that lives and breathes those values, we want to hear from you.

Benefits:

Beyond offers a wide variety of benefits like: stock options, unlimited PTO, private health insurance and more! You can learn more about our benefits by visiting our careers site!

We Care about Diversity, Equity and Inclusion:

Beyond is committed to building a workplace that attracts humans of all genders, ethnicities, backgrounds, statuses and lifestyles. At our core, we care about our people and encourage every employee, partner and applicant to share their whole self with us. We are respectful of and empathetic towards different viewpoints, and believe that our ability to help short term rental managers succeed relies on us building a dynamic and diverse team. Whoever you are, you can Belong @ Beyond.

Any communication regarding job openings, interviews and/or offers will come from our @beyondpricing.com email domain

Please review our GDPR Statement here.

Advice from our career coach

As a Senior Data Scientist at Beyond, you will play a crucial role in leveraging AI, ML, and statistical techniques to innovate on the company's dynamic pricing algorithm for short-term rentals. To stand out as an applicant for this role:

  • Highlight your experience in Machine Learning and Statistical Analysis techniques such as STL/LOESS, SGD, Random Forests, MRL, etc.
  • Showcase your expertise in Python, SQL, pandas, scipy, scikit-learn, statsmodel, or other relevant Data Science frameworks.
  • Demonstrate your ability to produce models that have measurably improved business opportunities or solved business problems.
  • Emphasize any experience you have in revenue management industries or pricing-related subjects.
  • If applicable, mention any experience with Spark or similar data analysis frameworks, as well as designing and implementing validation via methods like A/B testing and synthetic controls.

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About the job

Sep 20, 2024

Full-time

  1. US United States
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