Lead Data Scientist

The Team

It is an exciting time to join the data science team: business is booming, and the team plays a key role in their mission by automating, analyzing, modeling, and optimizing the way they target potential travelers with the most relevant and timely travel ads.

The data science team collaborates with product to define projects, analyze data sets, and build solutions.

Example projects include:

  • Delivering a better understanding of why a traveler books a hotel or flight, and utilizing those insights in production models which are used to improve ad relevance, timeliness, and performance for millions of ads per day
  • Analyzing, visualizing, and improving our ML pipeline that pushes thousands of models into production each month
  • Applying ideas from game theory to better understand the value of our audience targeting methods
  • Optimizing automated campaign management which allocates budget for over 40 million display ad impressions daily for over a thousand customers and millions of ad spend per year

As a part of engineering, they also drive our solutions to production including:

  • Creating data processing jobs using Google's big data infrastructure such as BigQuery
  • Deploying our codebase to production with docker/containers on Google Cloud's Kubernetes platform
  • Building and improving internal data science tools like our Jupyter server to scale our impact

The Role

We’re looking for lead data science engineers who can take on and lead large data science projects, from inception to completion.  In addition to contributing technically throughout the project, lead data science engineers are also responsible for:

  • Working with product to help define product requirements
  • Driving large data science efforts to completion, by helping design and plan the effort and by coordinating/supporting the efforts of other data science engineers contributing to the project
  • Interfacing with stakeholders throughout the company to bring new functionality and products to life 
  • Promoting innovation by identifying inefficiencies in modeling or process and collaborating to propose and implement solutions 
  • Representing the team and its capabilities across the business
  • Being a go-to expert on how our systems work
  • Understanding our customers, possessing empathy for their challenges and goals
  • Large data science projects revolve around extending Sojern’s core capabilities in new dimensions, e.g., additional inventory channels, so prior knowledge and leadership experience are crucial.


  • Python Proficiency -- It’s our lingua franca, and we’re big Jupyter fans
  • MS of PhD in CS or STEM -- Ability to transform concepts into practical solutions
  • Production Machine Learning Experience -- Successful implementation of ML solutions in production setting
  • Communication Ability -- Experience/comfort in presenting abstract concepts 
  • Track Record of Driving DS/ML Projects to Production -- Experience leading large DS/ML projects from concept to conclusion and sharing results and learnings
  • Extensive Experience as a Data Scientist – 7+ years of experience with data science/ML



  • Opportunities: Be part of a growing team with training and support to help you grow
  • Ownership: Lead creative and challenging projects
  • Give Back: Give 40 hours a year to volunteer and organize office volunteer programs with local organizations
  • Culture: Strong core business values, focus on teamwork, vibrant, social and fun environment
  • Snacks: Variety of snacks in the office
  • Meals: Monthly catered lunches & happy hours
  • Wealth: Stock options
  • Time Off: Flexible vacation days