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Full-Time

Data Scientist

Hopper CS Analytics

Confirmed live in the last 24 hours

Hopper

Hopper

1,001-5,000 employees

Predicts travel prices for savings

Data & Analytics
Fintech

Mid, Senior

Remote in Canada

Category
Data Management
Data Science
Data Engineering
Data & Analytics
Required Skills
Python
Airflow
Data Science
Data Structures & Algorithms
BigQuery
SQL
Tableau
Data Analysis
Google Cloud Platform
Requirements
  • 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.
Responsibilities
  • 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.

Hopper helps travelers save money on flights, hotels, and car rentals by using big data and advanced algorithms to predict future price changes. The platform analyzes billions of prices daily and advises users on the best times to book their travel, potentially saving them up to 40%. Users can access Hopper's services through a mobile app and website, where they can make bookings and utilize additional features through a subscription service. Unlike many competitors, Hopper focuses on providing personalized price predictions and cost-saving advice, making it particularly appealing to individual travelers. The company's goal is to make travel more affordable and accessible while fostering a supportive work environment for its employees.

Company Stage

Series G

Total Funding

$745.7M

Headquarters

Montreal, Canada

Founded

2007

Growth & Insights
Headcount

6 month growth

4%

1 year growth

-12%

2 year growth

-10%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with major companies like Lotte Card and Flair Airlines enhance Hopper's market reach and service offerings.
  • The company's commitment to employee growth and inclusive work environment fosters a supportive and dynamic workplace.
  • Hopper's innovative use of data analytics and AI provides employees with opportunities to work on cutting-edge technology.

What critics are saying

  • Recent layoffs indicate potential financial instability or strategic pivots that could affect job security.
  • The competitive travel tech market requires constant innovation, which can be both a challenge and a pressure for employees.

What makes Hopper unique

  • Hopper leverages big data and advanced algorithms to predict future travel prices, offering significant savings to users, unlike traditional travel booking platforms.
  • The company's dual focus on travel and fintech allows it to offer unique financial products like price freeze and disruption guarantees, setting it apart from competitors.
  • Hopper's global presence and remote work opportunities make it an attractive employer in the travel tech industry.

Benefits

Competitive salary

Stock options

Unlimited PTO

WeWork All Access Pass OR Work-from-home stipend

Open communication with management

Small, dynamic teams = massive impact

Medical, dental, vision, disability & life insurance plans

401k