Data Scientist

We’re seeking a highly skilled and experienced Data Scientist to join our CS Analytics team. The ideal candidate will have a strong background in SQL, Python, GCP, Airflow, Tableau, Amplitude, and Data Science, focusing on Natural Language Processing NLP.

We are looking for someone who has demonstrated experience in a reputable organization and aligns with our company culture. This role requires someone capable of handling complex data challenges, building and maintaining data pipelines, and providing actionable insights to drive business decisions.

You may be a great fit for our team if you’re a curious self-starter who thrives in ambiguity, is passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver significant value to our customers.

What would your day-to-day look like

• Frame and perform complex exploratory analyses to enhance our understanding of Hopper users, focusing on key drivers of conversion, retention, and overall user engagement.
• Manage the entire data science lifecycle from data extraction, transformation, and analysis to model development and deployment, collaborating closely with product, engineering, and operations teams to deliver customer-centric products.
• Apply advanced data science principles, particularly in NLP, to support ongoing projects, providing insights from unstructured data sources.
• Develop and maintain sophisticated dashboards for tracking product experiments, monitoring business unit performance, and analyzing key metrics using tools like Amplitude, Tableau, and BigQuery.
• Translate complex analytical findings into clear, actionable insights that non-technical stakeholders can easily understand, ensuring alignment across teams and facilitating data-driven decision-making.

An ideal candidate has

• Extensive experience with SQL for relational database management and complex querying.
• Proficiency in Python for large-scale data preparation, analysis, and model development.
• Strong experience with data mining, machine learning, and statistical modeling tools, including underlying algorithms.
• Proven ability to build and manage data pipelines using Airflow on Google Cloud Platform, ensuring data quality, consistency, and accessibility.
• Proficiency in business reporting tools such as Tableau and Amplitude for data visualization and event-based analytics.
• Extremely strong analytical and problem-solving abilities, focusing on breaking down complex business problems to identify key data drivers.
• Extensive experience conducting empirical research and answering challenging questions with data-driven approaches.
• Proven ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders.
• Strong ability to communicate models and insights effectively to technical and non-technical audiences.
• Comfortable collaborating with engineering teams to identify, implement, and own data science solutions in production environments.
• Ability to create ETL pipelines and/or support engineering teams in their creation and maintenance.

Preferred Qualifications

• Experience in the travel or hospitality industry is a plus.
• Familiarity with Unix/Linux environments.
• Experience with revenue management models and practices in the travel industry.

Perks and benefits of working with us:

• Well-funded and proven startup with large ambitions, competitive salary
• Performance bonus (paid quarterly).
• Unlimited PTO Flexdesk
• All Access Pass AND Work-from-home stipend
• Entrepreneurial culture where pushing limits and taking risks is everyday business.
• Open communication with management and company leadership
• Small, dynamic teams = massive impact
• 100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans
• Access to a Retirement Savings Plan (RRSP)

#posttoexternal

More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue.

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership,

- Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month.

- Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace.

Come take off with us!