JOB LOCATION

Toronto

KEY RESPONSIBILITIES

• Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering, machine learning and AI solutions for a new flu vaccine manufacturing facility.

• Exploit opportunities to leverage manufacturing data to develop data engineering and machine learning (ML) models and real-time process monitoring approaches.

• Partner with the MSAT Data Science and Digital teams to apply re-usable and efficient data engineering solutions for new and legacy facilities, and when developing process analytics solutions

• Translate data analytics outcomes to non-scientific audiences, champion data-driven decision making and empower end-users to perform simple analytics.

• Support various stakeholders to ensure timely delivery of data engineering, visualization, ML and AI capabilities. Promote a strong quality mindset with a focus on data integrity, validation, and data governance.

REQUIRED SKILLS

• BSc or MSc in Process Engineering, Computer Science, or a similar technical field with 3- 5 years of industry relevant experience.

• Strong coding skills in Python, R, and SQL and working with data historian systems, including PI Asset Framework (AF) & PI Event Frames – infrastructure, Manufacturing Execution System (MES) and IoT solutions.

• Knowledge of data analytics, and familiarity with Python libraries such as Pandas, NumPy and Scikit-Learn

• High level of familiarity using platforms such as Snowflake, AWS, Azure, Github and no-code/low-code applications such as Dataiku.

• Strong aptitude in developing data visualization platforms (Power BI, R Shiny, Streamlit, etc.)

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:

• Collaborating with teams of creative, fun, and driven colleagues

• Flexible work options enabling time and location-based flexibility

• Company-provided home office equipment

• Virtual collaboration and productivity tools to enable hybrid teams

• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)

• Other perks and wellness benefits like discount programs, and gym/studio access.

• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days

• Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring

• Tuition assistance and weekly hot skill development opportunities

• Experiential, high-impact learning series events

• Access to mental health resources and mindfulness programs

• Access to join Capgemini Employee Resource Groups around communities of interest

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com (http://www.capgemini.com/#_blank)

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.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

Applicants for employment in Canada 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 Canada by Capgemini.

Job: Developer

Organization: I&D

Title: Senior Process Data Engineer

Location: CAN-ON-Toronto

Requisition ID: 076857