Data Science Expert Jobs in Toronto, Ontario, Canada
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Toronto, Ontario, Canada
Research Associate-Term
Research Associate-Term
Data Science expert
About the role
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.
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About Amaris Consulting
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. It gathers more than 7,600 talented people from 110 different nationalities, spread across 5 continents and more than 60 countries.
We are a community of entrepreneurs and craftspeople, passionate about achieving excellence for their clients and partners. Helping businesses grow is the reason we wake up every day.
We create the solutions our clients need by putting the people with the right skills in the room.
We care about finding and delivering the right solution for them.
With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade.
We provide information technology consulting and services in technology strategy, as well as infrastructure services (IS & Digital). With a dedicated global center of excellence in telecoms and technology, we help our clients design, shape and operate their next generation network infrastructure (Telecom). We offer services to biotechnology companies and healthcare industries, from supporting product development to developing internal procedures (Life Sciences). Amaris Consulting is also a key partner for its engineering clients, providing the on-demand expertise they require to continue advancing their research and development process (Engineering).
Proudly part of Mantu, an independent international consulting player, founded in 2007. Bringing together expert and complementary brands, Mantu stands out for the breadth of its spectrum, responding to all business transformation challenges. A wide range of skills, all serving a single mission: connecting and powering companies with leading teams and technology to succeed faster and sustainably.