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Senior Specialist, Data Scientist

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe. 

 

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. 

 

Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention. 

The Operational Data Strategy function sits within Clinical Data and Insights. This overall group is within R&D Biopharmaceutical Clinical Operations. The Operational Data Strategy function is responsible for the strategic oversight on the collection, organisation, validation, and analysis of operational data, combining advanced database and system capabilities with innovative data science methodologies to visualise data-driven decision making.

The Senior Specialist, Data Scientist will be reporting to Director, Operational Data Intelligence. The ideal candidate will have a passion for data and a strong foundation in statistics, machine learning, and programming. As a Data Scientist, you will work alongside experienced data professionals to analyze complex datasets, develop models, and contribute to data-driven decision-making.

Key Responsibilities:

  • Data Collection and Preprocessing:
    • Gather data from various sources such as databases, APIs, and flat files.
  • Exploratory Data Analysis:
    • Perform exploratory data analysis to identify patterns, trends, and anomalies within the dataset.
    • Visualize data to bring effective decision making in a UX/UI friendly way to stakeholders.
    • Utilise expertise in predictive analytics to provide strategic direction for the application of data science methodologies to clinical operational data.
  • Visualisation
    • Contribute to the development and implementation of advanced data analytics and visualization techniques to support data-driven decision making in clinical operations.
  • Model Development and Evaluation:
    • Develop and implement machine learning models for classification, regression, clustering, or other relevant tasks.
    • Evaluate model performance using appropriate metrics and fine-tune models for optimal results.
  • Collaboration and Communication:
    • Work closely with cross-functional teams, including business analysts, domain experts, and IT professionals, to understand business requirements.
    • Communicate findings and insights to non-technical stakeholders through reports, presentations, or dashboards.
  • Continuous Learning and Improvement:
    • Stay updated with the latest advancements in data science, machine learning, and related fields.
  • Contribute to the development of best practices, reusable code, and knowledge sharing within the team.

Essential Education, Experience & Skills:

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong understanding of statistical methods and their application to data analysis.
  • Familiarity with machine learning techniques and algorithms.
  • Experience in data cleaning, transformation, and manipulation.
  • Proficiency in data visualization tools such as Power BI.

Desired Experience & Skills:

  • Knowledge of the pharmaceutical or healthcare industry.
  • Familiarity with big data technologies
  • Experience with cloud platforms like AWS

Great People want to Work with us! Find out why: 

 

 

Are you interested in working at AZ, apply today! 

AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com. 

 

#LI-Hybrid 

Date Posted

09-Apr-2025

Closing Date

22-Apr-2025

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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What You Should Know About Senior Specialist, Data Scientist, AstraZeneca

Join AstraZeneca as a Senior Specialist, Data Scientist, and become a pivotal part of our dynamic team based in Mississauga, Canada! At AstraZeneca, we are all about collaboration, innovation, and maximizing potential through knowledge-sharing across various global teams. Our head office is designed with cutting-edge facilities to foster teamwork and creative thinking, as we tackle important challenges within the biopharmaceutical space. In this role, you’ll dive into data collection, preprocessing, and exploratory analysis, turning complex datasets into actionable insights that drive clinical operations. Your expertise in statistics, machine learning, and programming will shine as you develop predictive models and visualizations that help stakeholders make informed decisions. You’ll collaborate with diverse teams, making an impact through compelling reports and presentations that communicate data-driven findings effectively. At AstraZeneca, we’re committed not only to groundbreaking healthcare solutions but also to a sustainable future and a strong workplace culture that promotes personal and professional growth. If you’re passionate about data and eager to make a meaningful difference in healthcare, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Senior Specialist, Data Scientist Role at AstraZeneca
What are the primary responsibilities of a Senior Specialist, Data Scientist at AstraZeneca?

As a Senior Specialist, Data Scientist at AstraZeneca, your primary responsibilities will involve data collection and preprocessing from multiple sources, conducting exploratory data analysis to uncover insights, and developing machine learning models to support clinical operations. You will also visualize data to facilitate decision-making and collaborate with cross-functional teams to understand business requirements.

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What qualifications are required for the Senior Specialist, Data Scientist position at AstraZeneca?

To apply for the Senior Specialist, Data Scientist position at AstraZeneca, you should have a Bachelor's or Master's degree in fields like Computer Science, Mathematics, or Statistics. Proficiency in programming languages such as Python, R, or SQL, as well as a solid understanding of statistical methods and machine learning techniques, is crucial for success in this role.

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How does collaboration work for the Senior Specialist, Data Scientist role at AstraZeneca?

Collaboration is at the heart of the Senior Specialist, Data Scientist role at AstraZeneca. You will work closely with business analysts, domain experts, and IT professionals, ensuring that you grasp the necessary business requirements and translate them into actionable data science solutions. This teamwork is essential for ensuring successful outcomes in clinical operations.

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What technologies should a Senior Specialist, Data Scientist at AstraZeneca be familiar with?

A Senior Specialist, Data Scientist at AstraZeneca should be familiar with data visualization tools like Power BI, as well as big data technologies and cloud platforms such as AWS. This knowledge will be instrumental in gathering, analyzing, and presenting data effectively to various stakeholders.

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What can candidates expect in terms of the work culture at AstraZeneca for the Senior Specialist, Data Scientist position?

Candidates can expect a collaborative and inclusive work culture at AstraZeneca. We emphasize knowledge-sharing, innovation, and sustainability, offering you a flexible work environment while promoting face-to-face interactions in our state-of-the-art offices. Furthermore, we take pride in being recognized as a top employer in Canada, which reflects our commitment to employees.

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Common Interview Questions for Senior Specialist, Data Scientist
Can you explain your experience with machine learning algorithms?

When answering this question, share specific examples of machine learning algorithms you have implemented, such as classification or regression models. Discuss the projects in which you utilized these algorithms, the outcomes, and any learnings you gained to illustrate your hands-on experience in the role of Senior Specialist, Data Scientist.

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How do you approach data cleaning and preprocessing?

Your response should include a step-by-step overview of your data cleaning process, emphasizing techniques you use to handle missing values, outliers, and biases. Explain how you ensure data integrity and quality before performing analysis, focusing on your systematic approach as a Data Scientist.

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Describe a challenging data analysis project you've worked on.

Structuring your answer around a specific challenge will showcase your problem-solving capabilities. Describe the project's goals, the data involved, obstacles you encountered, and how your analysis drove decision-making. Emphasize your analytical thinking and how it aligns with the responsibilities of a Senior Specialist, Data Scientist.

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How do you ensure effective communication of your data findings?

Highlight the importance of adapting your communication style based on the audience. Discuss your experience creating reports, presentations, and dashboards that simplify complex data into actionable insights. Mention any software tools you utilize, emphasizing your ability to convey technical information to non-technical stakeholders in an engaging manner.

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What is your experience with data visualization techniques?

Explain your familiarity with various data visualization tools and techniques you have used to present data insights effectively. Discuss how you choose the right visualization based on the data type and intended message, detailing your experiences with Power BI or other tools pertinent to the Senior Specialist, Data Scientist role.

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How do you stay updated with the latest data science trends?

Share your strategies for continuous learning in the field of data science. Mention following industry blogs, attending conferences, or engaging with online courses. This demonstrates your commitment to professional development and staying at the forefront of knowledge and skill relevant to the Senior Specialist, Data Scientist position.

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Can you give an example of how you've worked within a cross-functional team?

Provide an example where you collaborated with diverse teams, focusing on your role as a bridge between data science and business needs. Discuss how you gathered requirements, shared insights, and ensured project success as part of a collaborative approach, showcasing the teamwork aspect essential for the Senior Specialist, Data Scientist role.

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What strategies do you use to evaluate the performance of your models?

Discuss the metrics and techniques you use to evaluate the performance of your machine learning models, such as accuracy, precision, recall, or F1 score. Explain how this evaluation helps you in fine-tuning models and improving outcomes, which is an important aspect of being a Senior Specialist, Data Scientist.

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How do you handle tight deadlines on projects?

Explain your time-management strategies and how you prioritize tasks to meet project deadlines without compromising the quality of work. It’s essential to convey your ability to stay organized and focused under pressure, an important quality for a Senior Specialist, Data Scientist at AstraZeneca.

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What interests you about working at AstraZeneca as a Data Scientist?

Share your enthusiasm for AstraZeneca’s commitment to innovation, sustainability, and the health advancements it contributes to the biopharmaceutical field. Align your personal career goals with AstraZeneca’s values and mission, demonstrating that you’re a good fit for the culture and the responsibilities of the Senior Specialist, Data Scientist role.

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AstraZeneca is one of the world’s most exciting bio-pharmaceutical companies. From scientists to sales, lab techs to legal we’re on a mission to turn ideas into life-changing medicines that improve patients’ lives and benefit society. We’re consta...

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Full-time, hybrid
DATE POSTED
April 11, 2025

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