About Project X
Project X Ltd. drives success by focusing on building teams of incredibly talented and client-focused people, who love to problem solve and work on tough data problems. We reward hard work and forward-thinking with recognition and a supportive culture that celebrates success and wants to see you grow.
Our team members are trusted advisors to our clients and offer innovative solutions that solve complex data problems. Collaboration, creativity, data knowledge and experience run deep in our veins. We are passionate about building long-term relationships with our clients and staying true to our values. When adding new members to our team, we also look for people that are aligned to our values.
We are also passionate about our people. Hiring and developing people that seek challenges, like to jump in and learn new things, and are happy to lend a helping hand to a peer is what makes us successful.
We understand that it’s our people that make us great.
Role Summary
As a Consultant, Data Science at Project X Ltd., you will be providing our clients with your knowledge and experience of making sense of messy, unstructured data. Using your computer science, statistics and mathematics expertise, you will analyze, process and model data, then interpret the results to create actionable data driven solutions for our clients.
Major Areas of Responsibility
Required knowledge, skills, and abilities
Nice to have
In our commitment to promote fair and equitable treatment of all employees and applicants, Project X Ltd. provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process.
Project X is an equal opportunity employer and welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.