Tripping.com is the world’s largest vacation home and short-term rental search engine (with more than 10 million listings and over 150,000 destinations worldwide). We’re venture-backed and recently raised $35 Million in Series C Funding so we can continue to drive our rapid growth. We care about our people and we're having fun playing in a $100B market. 

Tripping.com is looking for a Senior Data Scientist to join our team. We are looking for an expert in machine learning to drive our search offerings in the vacation rental space. You will lead the charge into improving our relevancy and search through data science and machine learning techniques. We have a wealth of data that requires a fine touch to comb through and take us to the next level.

If you have the passion for data and a burning desire to invent the future, enjoy working in an environment that kindles challenging-the-convention and unbridled creativity, thrive on solving complex problems and love the fast-paced daily action, you are one of us and we look forward to working with you

Responsibilities

• Interact with stakeholders to understand overall initiatives and goals
  
• Understand our business and develop methodologies to drive us forward
• Customize or create new data science models to interact with our users
• Work with the data analytics to drive the best methods forward
• Coordinate and collaborate with cross-functional teams including product management, customer support & operations, sales, marketing and management.
• Be a thought leader and technology evangelist

• 7+ years of experience with background in building predictive models with at least 3+ years of experience in the search and/or travel space
• Experience in predictive analytics
• Knowledge in one or more areas of time series analysis, anomaly detection, signal processing, sequence-based predictive modeling is required
• Experience in areas of feature engineering, normalization, regularization, model optimization, hyper-parameter tuning is required
• Experience with Deep Learning/Neural Networks particularly with Recurrent Neural Network (RNN) like Long Short Term Memory (LSTM) Network or Gated Recurrent Unit (GRU) Network with applications in time-series data is a big plus
• Good experience with data preparation and data quality
• Solid programming experience in Python or Scala or Java
• Knowledge of Spark, Spark ML / Spark MLlib and/or Tensorflow is highly desired
• Knowledge of data visualization is a plus
• Must have great communication skills
• Must have a strong desire to aggressively learn and seek out new relevant technologies
• Doctorate / Masters / Bachelors degree in Computer Science / Information Technology / Statistics / Mathematics or equivalent

Perks

• Great culture (we’re a tight team - we work hard and play hard)
• San Francisco headquarters, easily accessible by public transit
• A fun team environment with frequent outings and retreats
• Top Health insurance (medical, dental, and vision)
• 401K