Company: Capgemini
Location: Toronto, ON
Expected salary:
Job date: Thu, 27 Mar 2025 02:30:22 GMT
Job description: About the job you’re consideringAs a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various reasons including reporting, product analytics, marketing optimization and financial reporting. Supply as part of self-organized team of experienced data engineers working in an exciting, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Your role
- Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all collaborators.
- Ensures that assigned area/areas are delivered within set deadlines and required quality objectives!
- Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area!
- Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
- Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
- Addresses area-level risks, provides and implements mitigation plan.
- Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
- Responsible for resolving crisis situations within their AOR.
- Initiates and conducts code reviews, creates code standards, conventions and guidelines.
- Suggests technical and functional improvements to contribute to the product;
- Constantly improves their professional level.
- Collaborates with other teams.
Your skills and experience
- We are looking candidates with degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- We are looking candidates with 2+ years of experience in data analytics, consulting, or related 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. Chartio, Looker, Tableau).
- Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
- Outstanding analytical and problem-solving skills.
- Always eager to learn and improve.
- Strong interpersonal and writing skills.
Nice to have:
- Experience building large scale, real-time applications
- Contributor to open-source projects.
Life at CapgeminiCapgemini 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 program.
- 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 EngineeringWorld leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, 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 wantDisclaimerCapgemini 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 ApplicantApplicants 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.
The job being considered is that of a Data Science Engineer, responsible for building distributed data processing solutions and highly loaded database solutions for reporting, analytics, optimization, and financial reporting purposes. The role involves working in a self-organized team of experienced data engineers, investigating, creating, and implementing solutions for technical challenges, providing guidance to a development team, and contributing to project goals. The ideal candidate should have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain, along with 2+ years of experience in data analytics. Proficiency in SQL, ETL, A/B Testing, statistical analysis, and analytics tools is required, as well as strong analytical, problem-solving, and interpersonal skills. Experience with real-time applications and open-source projects is a plus. Capgemini offers a supportive work environment with various benefits for employees.
