Senior Data Scientist

COREL

7h•Remote

About The Position

We’re looking for an experienced Senior Data Scientist to help us change the way the world works, with Parallels: anytime, anywhere, any-device productivity. The ideal candidate can take ambiguous business problems and turn them into structured, data-driven insights that inform decisions. This role combines predictive modeling, funnel and revenue analysis, and rigorous experimentation to identify and prioritize the highest-impact opportunities. The ideal candidate can distinguish signal from noise, interpret complex or nuanced results, and translate findings into clear, actionable recommendations. Beyond analysis, this person acts as a thought partner to Product, Marketing, and Finance—bringing rigor, challenging assumptions, and driving measurable business outcomes. 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. Parallels helps users leverage the best technology out there, whether it’s Windows, Mac, Chrome OS, iOS, Android, or the cloud. We have millions of users and decades of innovation under our belts. Parallels is a top VDI/EUC product helping businesses since 1999. Whether it’s desktop or cloud, on-prem or hybrid, Parallels has a solution to help your company optimize the speed and security of your work environment at an affordable price.

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 predictive models (e.g. churn, LTV, ARR, etc.) and translate model output into actionable business strategies
Define and analyze key stages of the customer funnel (e.g. acquisition, activation, conversion, retention), identifying bottlenecks and opportunities for improvement
Design and analyze A/B tests, including defining success metrics, guardrails, and power requirements, and ensuring correct interpretation of results
Ensure data quality through processing, automation, modeling, and reporting
Identify and prioritize the highest-impact opportunities across modeling, funnel performance, and experimentation
Contribute to the growth of knowledge of our team with internal and external documentation or presentations