Senior Data Scientist

Rocket Travel (View all Jobs)

Chicago, IL USA

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Interview Process

1. Pair programming 2. Take home project (2-4 hours) 3. 3-4 hour final interview with mix of high level technical, product, and cultural/behavioral sessions.



Programming Languages Mentioned

SQL, Python

About the Role

Rocket Travel is hiring a Senior Data Scientist to join our innovative Data Science team. This role involves close collaboration with fellow data scientists, data engineers, and application developers to construct machine learning and deep learning models that drive our data-centric products and services. The position offers the opportunity to work on engaging projects encompassing areas such as learning to rank, natural language processing, AB testing, and Large Language Models, providing an enriching professional experience.

Rocket Travel is a place where you:

  • Work with a group of intrinsically motivated people with a track record for building successful new businesses from scratch.
  • Embody curiosity, being an owner, taking moonshots, and rising together. We live and build products by these values every day. 
  • Own decisions and take action that can be implemented in a matter of days (or hours).
  • Get inspired and encouraged to vacation faster, with an annual vacation stipend.
  • Receive a competitive compensation package, including bonus, 401k with match, flexible vacation time, maternity and paternity benefits, health, vision, and dental insurance.
    • Total Compensation is based on experience - The starting point for this role is $132,000 Bonus: up to 19%. 
  • Can have the option to work remotely. Though we have great offices in Chicago’s West Loop and in NYC’s Empire State building, we have a hybrid team, a flexible work environment, and we welcome full-time remote applicants.
  • Share your passion for travel with equally adventurous teammates. 
  • Work within the largest online travel company in the world. Rocket Travel creates B2C and B2B2C travel products and is part of Booking Holdings (BKNG). We have many worldwide partners and a diversified business. Despite the world’s current situation, Booking Holdings has been rated the healthiest company in travel, and Rocket itself is already seeing travel demand surpass pre-pandemic levels 


About you:

  • You have a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. 
  • You have at least 3 years of work experience in the field of data science, machine learning, or similar roles. Experience gained during the completion of a PhD or MS degree can be considered as part of this requirement.
  • You’re an expert with Python and its data science and deep learning libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • You demonstrate hands-on experience designing and implementing a variety of machine learning algorithms, including both supervised and unsupervised learning models.
  • You have the ability to navigate complex data-related challenges with a strong commitment to deep-dive analyses and root cause identification for addressing bugs or anomalies.
  • You excel in written and verbal communication skills, capable of effectively collaborating with team members and stakeholders.
  • You have a proven track record of delivering on complex data-related projects, including keeping knowledgeable about, adapting, and utilizing recent developments in the field when advantageous.

Bonus points if you have expertise in some of these areas:

  • Proficiency in SQL and database management.
  • Experience with PySpark or other big data processing frameworks.
  • Specific knowledge or experience in areas such as learning to rank, NLP, and AB testing.
  • Published work in machine learning, artificial intelligence, or related fields.
  • Experience with AWS or similar cloud computing services.

About Rocket Travel

Rocket Travel partners with loyalty programs around the world to make travel even more rewarding. Our customers can earn and redeem miles, points, and gift cards, or save big with exclusive discounts, for booking travel accommodations around the world, from global favorite brands to boutique bed and breakfasts. We also help our partners curate vacation excursion planning and car rental services, with a completely branded experience from the first search to check-out from their stay.

We attract customers from every corner of the globe with a user experience that's built in-house from ideation to finished product: our team includes front- and back-end developers, customer service, data analysts, designers, marketers, accountants, partnership sales, and managers. We have offices in Chicago, NYC, Bogota, Kuala Lumpur, Manila, and Cebu, as well as colleagues working remotely across four continents. Our global partnerships range from world-class airlines to international banks to large-scale shopping platforms. 

We began in 2013 as a start-up, were acquired by Bookings Holdings two quick years later, and we've been growing rapidly ever since. Rocket Travel is dedicated to creating a diverse, equitable, and inclusive workplace where everyone has the opportunity to reach new heights in their career, and expand their knowledge working alongside talented, dedicated colleagues. We encourage all applicants with a touch of wanderlust to apply to our team, as we work toward helping our travelers reach the vacation of their dreams. 

Candidates should be authorized to accept employment in the US from any employer, should be willing to start within three weeks of accepting an offer, and should be able to work the same daily working hours as our Chicago office.

Diversity, equity and inclusion are Rocket Travel priorities, and we are looking for candidates who will contribute positively to the company's mission to be an inclusive environment.   Rocketmiles has multiple employee resource groups, including a diversity and inclusion committee, and has committed to DEI goals in hiring, employee retention, and the overall demographics of the organization. DEI is an important element of our values and we conduct ongoing and regular training for our teammates in an effort to foster collaboration, improve morale, and support one another.


Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄

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