Senior Data Scientist

placeBrasília, DF calendar_month 
Senior Data Scientist - Backed by Bessemer Venture Partners, we have grown to the global leader of short term rental revenue management systems that drive revenue growth.
We attribute our success to our belief that the people are the most important part of a business, and our commitment to being a fantastic place to work.
It''s with that in mind that Beyond is looking to add a Senior 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.
As our Senior 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 environmentSo what kind of person are we looking for in this role?
The person who will be successful in this role will be:- 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- BS/BA in computer science, mathematics or other relevant field.
Advanced degree in a quantitative field strongly preferred.
  • 5+ 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 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- 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**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.

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, work from home office stipend, private health insurance and more! You can learn more about our benefits by visiting our careers site!**We Care about Diversity, Equity and Inclusion**:Please review our GDPR Statement here.

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