Senior Data Scientist

COREL

3d•Remote

About The Position

We’re looking for an experienced Senior Data Scientist to help us change the way the world works, with Parallels [https://www.parallels.com/]: anytime, anywhere, any-device productivity. The top creative and technical minds could work anywhere. So why are so many of them choosing Parallels? Here are three reasons: 1. This is the moment. It’s an exciting time at Parallels, with strong leadership, a refreshed brand, and a whole new approach to changing the way the world works. We’re at the forefront of a movement, and we want you to ride this wave with us. 2. We want you to be you. Too often, companies tell you about their culture and then expect you to fit it. Our culture is built from the people who work here. We want you to feel safe to be who you are, take risks, and show us what you’ve got. 3. It’s your world. We know you have a life. We want to be part of it, but not all of it. At Parallels, we’re serious about empowering people to work when, how, and where they want. Couch? Sweatpants? Cool with us. We believe that happy employees mean happy customers. That’s why we hire amazing people and get out of their way. Sound good so far? Awesome. Let’s talk more about the Senior Data Scientist role and see if we’re destined to be together.

Requirements

MS or PhD in Math, Physics, Statistics, Economics, Computer Science, or similar domain
5+ years of experience in data science or equivalent role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
Expertise with A/B Testing, and statistical analysis in Python
Proficiency in one or more data visualization tools (e.g., Tableau, Looker, PowerBI)
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

Responsibilities

Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
Build, deploy and maintain models
Ensure data quality through processing, automation, modeling, and reporting
Contribute to the growth of knowledge of our team with internal and external documentation or presentations