Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Wed, 26 Mar 2025 06:18:23 GMT

Job description: Job Location: CanadaAbout the job you’re considering
As a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Your role

• Receives tasks from the project lead functional and design specifications, gets approval from all collaborators.
• Makes decision about area implementation based on their experience and technical expertise.
• Leads functional design to ensure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements mitigation plan.
• Initiates and conducts code reviews, creates code standards, conventions and guidelines.

Your skills and experience

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

Nice to have:

• Experience building large scale, real-time applications
• Contributor to open-source projects.

Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get the future you want | www.capgemini.com
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

A Data Science Engineer position in Canada requires building distributed data processing solutions and highly loaded database solutions for various business cases. Responsibilities include receiving tasks, making decisions about implementation, leading functional design, addressing risks, conducting code reviews, and creating code standards. Required skills include a degree in a relevant domain, 2+ years of experience in data analytics, expertise in SQL queries, ETL, statistical analysis, and proficiency in analytics tools. Additional skills such as experience with large-scale, real-time applications and contributor to open-source projects are a plus. Capgemini offers various benefits for employees, and the company is committed to diversity and equal opportunity in the workplace. Applicants in the US must have valid work authorization that does not require sponsorship for employment authorization.