Senior Manager, Data Science

Corel; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

Alludo is seeking a Senior Manager for the Data Science team to enhance analytical capabilities and drive data-driven decision-making. This role involves leading a team, influencing business strategies, and leveraging data to uncover insights. Join a dynamic environment where innovation thrives and employees are empowered to work flexibly.

Qualifications

• 1+ years of experience managing a team of data scientists.
• 6+ years of experience in data analytics or related quantitative role.
• Experience with funnel optimization, user segmentation, cohort analyses.

Responsibilities

• Lead and develop Data Scientists in investigating complex issues.
• Influence Marketing, Sales, Finance, and Product strategy.
• Drive measurement strategy across various departments.

Skills

Data analytics

Communication

Cross-functional working

Problem-solving

Education

Degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain

Tools

SQL

ETL

Statistical analysis tools (e.g., Matlab, R, SAS, Python)

Analytics & visualization tools (e.g., Looker, Tableau, PowerBI)

Job description

Push the boundaries of tech. In your sweatpants.

Alludo is looking for a hands-on senior manager for the Data Science team to 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 :

• This is the moment. It’s an exciting time at Alludo, with strong 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.
• 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.
• 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 Senior Manager, Data Science role and see if we’re destined to be together.

As a Senior Manager, Data Science, you will :

• Lead and develop Data Scientists in investigating complex issues, defining key metrics, and uncovering key drivers of our business
• Partner with the leadership across organization to adopt quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Influence Marketing, Sales, Finance, and Product strategy by making actionable recommendations based on data
• Drive measurement strategy across various departments within the organization building data driven decision culture within the company
• Work closely with the Data and MarTech leaders to facilitate tool selection and process definition to support company's experimentation strategy
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Drive data models that reflect ambiguous business

What YOU bring to the table :

• 1+ years of experience managing a team of data scientists, and a track record of delivering impactful analyses
• A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
• 6+ years of experience in data analytics, consulting, or related quantitative role
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Excellent communication and cross-functional working skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions
• 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)

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 soappreciate your application, though please note that we’ll only contact you if you’ve been selected for an interview.)

About Alludo

Alludo is a beloved and trusted industry titan fueled by make-everything-easier flexibility. With a 30+ year legacy of innovation, we understand where you've been, and we're uniquely equipped to get you where you want to be. Our comprehensive collection of creative, collaborative, and productivity solutions propel your teams on their journey. From meeting your deadlines to realizing your dreams, Alludo empowers all you do.

Our products enable millions of connected knowledge workers around the world to do great work faster. Our success is driven by an unwavering commitment to deliver a broad portfolio of innovative applications – including CorelDRAW, MindManager, Parallels, and WinZip – to inspire users and help them achieve their goals.

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 accommodation that are required. Appropriate accommodation will be provided upon request as required by Federal and Provincial regulations and Company Policy. Any information received relating to accommodation will be treated as confidential.