Data Scientist

Title: Data Scientist

Location: Remote – US, Select Cities

It’s with that in mind that Beyond is looking to add a Data Scientist to our growing team. Reporting to Engineering Manager – Data/Algo, you will have the opportunity to leverage statistical and machine learning 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!

As our Data Scientist, you’ll be responsible for:

• Working with Revenue Management to identify and explore opportunities to improve our pricing algorithm in ways that target key, meaningful metrics.
• Using SQL and other tools to collect and analyze data using large scale (TB) datasets
• Leverage statistical methods (such as time series decomposition, abnormal detection, loess regression for non-linear smooth curve, etc.) and machine learning and AI techniques (such as random forest model, gradient descent optimization, k-means unsupervised classification, etc.)
• Implement Jupyter notebooks with Viola to implement and validate solutions including visualizations
• Work with data engineers to handle data processing needs and shepherd algorithm changes into the production environment

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

• Passionate about data science and an understanding of the practical application of data science to delivering value
• A nose for understanding the business problems and potential underlying considered changes to our pricing algorithm
• The ability to communicate clearly and honestly with stakeholders on the revenue management side as well as the data engineering side.
• Enthusiasm for working in a fast-paced, highly effective startup environment, where work is focused on delivering value for customers
• Huge plus: experience working in revenue management and/or hospitality

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

• BS/BA in computer science, mathematics or other relevant field. Advanced degree in a quantitative field strongly preferred.
• 3+ years experience in a data science role
• Expert in SQL
• Proficient in Python, or proficient in at least one other popular DS programming language (i.e. R) and a willingness and ability to quickly ramp with Python
• Demonstrated ability to produce models using statistical methods and machine learning to deliver DS solutions to business problems
• Ability to understand and execute on business objectives and problems that underlie data science initiatives
• Prefer experience in revenue management or hospitality industries, or subjects including pricing, time series analysis, yield management.
• Prefer experience with Spark or similar analysis frameworks
• Experience designing and implementing validation via methods like A/B testing and synthetic control
• Excellent communication and collaboration skills – you must be able to connect business/revenue management with data engineering to deliver new work into production

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
• Complete a skills assessment/screening
• Interview with the hiring manager
• Complete a peer/technical interview
• Have a final interview with the CTO/Co-founder