Data Scientist

Data Scientist

Push the boundaries of tech. In your sweatpants.

Alludo is looking for an experienced Data Scientist to help us change the way the world works. Here, you'll facilitate the advancement of our analytical capabilities. We are moving from "what was/is" to Predictive modeling and Business optimization. This role will be the key to establishing and developing the data science capabilities at the company.

The top creative and technical minds could work anywhere. So why are so many of them choosing Alludo? Here are three reasons:

1. This is the moment. It's an exciting time at Alludo, with new leadership, a refreshed brand (you probably know us as Corel!), 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 Alludo, 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 role and see if we're destined to be together.

THE ROLE:

• 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
• Help model and eventually be solely responsible for models that reflect ambiguous business
• Ensure data quality throughout ETL (Extract, Transform and Load) data, processing, automation, modeling, and reporting
• Contribute to the growth of knowledge of our team with internal and external documentation or presentations

YOU:

• A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
• 5+ years of experience in data analytics, consulting, or related quantitative role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g., Looker, Tableau, PowerBI)
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

US:

• Alludo is an award-winning solution that has millions of users and decades of innovation under our belts.
• We offer a fully remote workspace, and we mean it. There is no pressure to work in an office whatsoever.
• Hours are flexible! You've worked hard to build your life, and we don't want you to give it up for work.
• Our team is growing fast, and there's a ton of energy and a lot of really smart, motivated, fun people ready to welcome you in.

What are you waiting for? Apply now! We can't wait to meet you.

(FYI, we're lucky to have a lot of interest and we so appreciate your application, though please note that we'll only contact you if you've been selected for an interview.)

About Alludo:

Alludo, the company behind the award-winning, globally recognizable brands including Parallels®, CorelDRAW®, MindManager®, and WinZip®, is helping people work better and live better. Our professional-caliber graphics, virtualization, and productivity solutions are finely tuned for the digital remote workforce delivering the freedom to work when, where, and how you want. With a 35+ year legacy of innovation, Alludo empowers ALL YOU DO helping more than 2.5 million paying customers to enable, ideate, create, and share on any device, anywhere. To learn more, visit www.alludo.com.

It is our policy and practice to offer equal employment opportunities to all qualified applicants and employees without regard to race, color, age, religion, national origin, sex, political affiliation, sexual orientation, marital status, disability, veteran status, genetics, or any other protected characteristic.

Alludo is committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodations that are required. Appropriate accommodations will be provided upon request as required by Federal and Provincial regulations and Company Policy. Any information received relating to accommodations will be treated as confidential.