Senior Manager, Marketing Science & Analytics

Scotiabank; Toronto; Hybrid; CAD 50,000 - 90,000; Full time

Benefits offered by this job

International community

Extensive training and academy

Team events & activities

Job summary

Amaris Consulting is seeking a Data Science Expert to support advanced analytics within a regulated manufacturing environment in Toronto. You will collaborate across MSAT, Automation, Digital, and Quality to transform process data into actionable insights.

The role requires 4–6 years in data science/engineering and hands-on experience with MES/LIMS and data platforms. You will design analytics pipelines, build dashboards, and develop ML models, while ensuring data integrity and enabling

Qualifications

• 4–6 years of experience in Data Science, Data Analytics, Data Engineering, or related fields.
• Hands-on experience with manufacturing, process, or operational data.
• Experience with MES and LIMS systems and data platforms.
• Strong data modeling, pipelines, and analytics solution development.
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Design, develop, and maintain ready-to-use data and analytics systems.
• Extract, organize, and transform data from multiple sources into business-ready formats.
• Collaborate with MSAT, Automation, Digital, Quality, and other functions to gather analytics requirements.
• Map process parameters to source systems (MES, PI Historian, LIMS, iShift, cloud platforms).
• Develop data contextualization pipelines in cloud AI environments.
• Build dashboards to support operations and business needs.
• Develop and support machine learning models and advanced analytics.
• Ensure data integrity and accessibility across platforms.
• Support continuous improvement via data-driven insights.

Skills

Python

SQL

Power BI

Snowflake

GitHub

Tools

PI Historian

PI Vision

JMP

SIMCA

SIMCA-online

Job description

We are looking for a Data Science Expert to support the development of advanced data and analytics solutions within a highly regulated manufacturing environment. The successful candidate will work closely with cross-functional teams to transform complex process and operational data into actionable insights, enabling data-driven decision-making and continuous improvement initiatives.

Location & Work Mode

• Location: Toronto, ON
• Work Mode: Hybrid
• Seniority: Middle (4–6 years of experience)
• Schedule: Flexibility to work with European time zones, including availability for an early shift (approximately 6:00 AM – 2:00 PM)

Key Responsibilities

• Design, develop, and maintain ready-to-use data and analytics systems.
• Extract, organize, contextualize, and transform data from multiple source systems into business-ready formats.
• Collaborate with stakeholders across Manufacturing Science & Technology (MSAT), Automation, Digital, Quality, and other functions to gather analytics requirements.
• Map process parameters and manufacturing data to source systems such as MES, PI Historian, LIMS, iShift, and cloud-based data platforms.
• Develop data contextualization pipelines within cloud-based AI and analytics environments.
• Build and maintain data visualization solutions and dashboards to support operational and business needs.
• Develop and support machine learning models and advanced analytics solutions.
• Ensure data integrity, consistency, and accessibility across multiple platforms.
• Support continuous improvement initiatives through data-driven insights and process monitoring.

Required Qualifications

• 4–6 years of experience in Data Science, Data Analytics, Data Engineering, or related fields.
• Strong experience working with manufacturing, process, or operational data.
• Hands-on experience with:
  • Python
  • SQL (MS SQL Server)
  • Power BI
  • Snowflake
  • GitHub
• Experience working with MES (Manufacturing Execution Systems), LIMS (Laboratory Information Management Systems), and process data platforms.
• Knowledge of data modeling, data pipelines, data contextualization, and analytics solution development.
• Strong communication skills and ability to collaborate with cross-functional stakeholders.
• Ability to work in a fast-paced environment and manage multiple priorities.

Nice-to-Have Qualifications

• Experience with PI Historian and PI Vision.
• Experience with JMP, SIMCA, and SIMCA-online.
• Exposure to Machine Learning and AI platforms.
• Experience within Life Sciences, Pharmaceutical, Biotechnology, or other regulated industries.
• Understanding of manufacturing processes and process performance monitoring.

Expected Compensation Range:
50K-90K The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements.

Canadian Experience Requirement:
No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.

Artificial Intelligence (AI) Disclosure:
No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.

Statement Regarding Job Vacancy:
This position is a Job creation, created to support ongoing project needs.

Recruitment Process & Feedback Timeline:
Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage.

Why choose us

• An international community bringing together more than 110 different nationalities
• An environment where trust is central: 70% of our leaders started their careers at the entry level
• A strong training system with our internal Academy and more than 250 modules available
• A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)

Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

We look forward to meeting you!