Data Scientist
PayByPhone
Vancouver, BC
We are hiring for a Data Scientist!

PayByPhone is looking to hire a talented Data Scientist to join our new and expanding Data Analytics team. In this role, you will get the opportunity to partner with the business and stakeholders to help solve urgent business needs from a data perspective.

Here's what you'll do:
  • Develop and set up analytical tools and platforms to enable tracking and testing of marketing, product and business performance
  • Use sound statistical methods for testing business-level hypotheses and answering desired business questions
  • Process and analyze large amounts of data combined from internal and external sources to identify possible trends and patterns
  • Assist in the design of fair evaluations for marketing campaigns, and A/B tests for product features
  • Collaborate with product managers, engineers, marketers, designers, and stakeholders to translate business insights into decisions and actions
  • Present facts and findings to enable data-driven decision making to company leadership and other stakeholders
  • Work closely with the Data Engineering team to improve our data collection, data storage, and data processing systems
  • A producer and consumer of data, with a keen eye for detail and quality, along with a healthy dose of skepticism
You'll Excel in this role if you:
Are Naturally Curious, you have a passion for big data and solving unique business problems in a dynamic technical environment.

Are a Self-Starter that does what it takes to transform data into an insightful story.

Love To Explore Big Data Sets and take the time to explain your findings to others. Your work makes a huge impact on improving business results.

The must-haves:
  • Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Economics, Biostatistics or a similar quantitative field is preferred.
  • 4+ years of experience in an engineering, data science, analytics or business intelligence field
  • Experience in cleaning, analyzing and presenting data in clear, understandable and interpretable forms to audiences of varied technical expertise
  • Competency in probability and applied statistics
  • Strong demonstrable knowledge of relational databases and querying using SQL
  • Is able to present data and results in clear and concise forms, and to audiences of varying backgrounds (e.g. developers vs. marketing vs. executives etc.)
The nice to haves:
  • Previous experience with training and developing machine learning models (e.g. Amazon SageMaker, Python, scikit-learn, R) is preferred, but not mandatory
  • Working experience using Python (or R, Julia, F# etc.) for processing data, and also with data manipulation and visualization libraries (e.g. pandas, bokeh, matplotlib, ggsplot, d3.js)
Success in this role looks like:
  • You'll be consistently working alongside business stakeholders on a day-to-day basis on various business problems with confidence. People know when to come to you.
  • As a contributing member to the Data Analytics team, you'll love to share your expertise in the area with those in the business who can benefit from it.
About us:
Here at PayByPhone, our strength is in our people: a talented team behind a fantastic product. We are a creative, ambitious and driven multi-disciplinary group. We value learning and fun as we innovate to help millions of consumers pay for parking easily and securely. Our teams are growing; but not without you.

Together, we're on a mission to simplify the world of mobility payments – one parking spot at a time. We're one of the fastest-growing mobile payment companies in the world and process over 100 million parking, transit, and bike-share transactions a year in cities across North America, Europe and Australia. Our teams help millions of consumers easily and securely pay for parking and transportation without the hassles of waiting in line, carrying change, or risking costly fines.

Now, with a recent acquisition by Volkswagen Financial Services, our growth has a global focus and we can't do it alone. We need the right people working with us to help reach our lofty goals and we want it to be you.

PayByPhone is committed to fostering a diverse and representative workforce and an inclusive work environment where all employees are treated equally. The Company does not tolerate discrimination or harassment in the workplace or talent attraction processes. Our commitment is to attract and acquire talent that are representative of the talent market, and are based on business needs, job requirements and individual qualifications.