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Data Science And Analytics Jobs in Hamilton, ON (NOW HIRING)

Senior Data Scientist

Mississauga, ON · On-site

CA$156K - CA$290K/yr

Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT's success. Main ...

We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

As a Senior Data Scientist your key area of responsibility will be designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions, providing ...

Document analytical findings and architectural decisions clearly, and mentor team members on data best practices. Qualifications What you bring * Master's degree in Computer Science, Data Science ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions * Establish talent development programs, technical career ...

Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions * Establish talent development programs, technical career ...

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Data Science And Analytics information

Is data science and analytics still in demand?

Data science and analytics roles remain highly in demand across various industries due to the increasing reliance on data-driven decision making. Professionals with skills in programming, statistical analysis, and tools like Python, R, or SQL are sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, and often involve working with large datasets to inform business decisions.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities near Hamilton, ON are hiring for Data Science And Analytics jobs? Cities near Hamilton, ON with the most Data Science And Analytics job openings:
Infographic showing various Data Science And Analytics job openings in Hamilton, ON as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Analytical Data Science, Senior Programmer

Roche

Mississauga, ON • On-site

Full-time

Posted 23 days ago


Roche rating

9.3

Company rating: 9.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical


Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.

PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.

The Opportunity:

The Senior Analytical Data Science Programmer is a key contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation Model and Analysis Data Model standards, ensuring compliance with regulatory requirements and Roche standards. In addition to supporting regulatory submissions, the ADS Programmer plays a critical role in generating data insights through platforms such as the Insight Engine, enabling real-time exploration and interpretation of diverse clinical and exploratory data. This role contributes to a modern, insight-driven development environment by facilitating robust, timely, and decision-enabling analytics across clinical programs.

  • You independently develop, validate, and maintain datasets and statistical outputs for clinical trials, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs), ensuring programming accuracy, traceability, and compliance with internal processes and regulatory expectations

  • You develop and support programming outputs across a wide range of data types, including exploratory biomarker data and real-world data, to support both regulatory and scientific objectives

  • You collaborate on exploratory analyses that span disease areas and therapeutic areas, enabling insight generation to inform drug development strategies

  • You support the creation and refinement of interactive tools and analytical applications (e.g., dashboards or visual data platforms) that enable dynamic exploration of integrated datasets by scientific and clinical teams

  • You provide programming leadership for assigned studies, coordinating deliverables across internal and external programming partners to meet study timelines and requirements

  • You interpret statistical analysis plans and translate them into executable programming specifications to ensure scientific rigor in outputs

  • You troubleshoot and resolve technical programming challenges with limited supervision, proactively identifying risks and implementing effective solutions while meeting timelines

  • You contribute to the design and maintenance of standard macros and reusable components, promoting efficiency and consistency across multiple studies and projects

  • You document programming workflows and maintain audit trails, ensuring study files are complete, traceable, and inspection-ready

  • You work cross-functionally with stakeholders, including biostatistics, data management, and clinical operations, to define programming timelines and deliverables

  • You engage in process improvement and innovation activities and participate in learning activities to grow knowledge of clinical research and programming standards

Who you are:

  • You hold a Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field

  • You have 5+ years of solid experience in statistical programming in a clinical development setting, or an advanced degree with equivalent work experience

  • You are proficient in or have working knowledge of a modern programming language (such as SAS or R) and visualization/review tools

  • You have a deep understanding of statistical quality, endpoints, and QC processes

  • You have experience with Clinical Data Interchange Standards Consortium (CDISC) standards (e.g., SDTM and ADaM)

  • You bring expertise in handling and analyzing different types of data (multi-modal)

  • You have demonstrated ability to deliver programming outputs independently

  • You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.

  • You are fluent in English

Preferred:

  • Possess attention to detail for regulatory submission processes and related documentation

  • Demonstrate critical thinking, strong organizational and problem-solving skills

  • Experience working in cross-functional global study teams

  • Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences

  • Experience with multiple phases of drug development (early and/or late stage)

  • Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders

  • Demonstrated willingness to adapt, grow, and evolve in response to shifting priorities

Relocation Benefits are not available for this job posting.

The expected salary range for this position based on the primary location of Mississauga is 115,328.00 and 151,368.00 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company.

We use artificial intelligence to screen, assess or select applicants for this role.

This posting is for an existing vacancy at Hoffmann-La Roche Ltd.

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let's build a healthier future, together.

Roche is an Equal Opportunity Employer.


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