Data Scientist, Strategic Initiatives and Research

2 months ago

Calgary, Canada The University of Calgary Full time

**Description**

The **Office of VP Research** is currently seeking a Full-time Regular **Data Scientist**.

As requirements for data reporting and delivering of outcomes are increasing for major research initiatives, both from internal and external stakeholders, the Office of the Vice President Research (VPRO) requires a Data Scientist, Strategic Initiatives and Research Intelligence (SIRI), to support the Research & Innovation Plan. This is a full-time position within the VPRO and reports to the Manager, SIRI.

**Summary of Key Responsibilities** (job functions include but are not limited to):

- Independently develop and implement machine learning models for predictive analytics tasks such as forecasting, classification, and recommendation systems.
- Develop processes to modernizing existing data handling practices, through programmed solutions.
- Lead the development of tools for critical decision making and provide support and training.
- Discover actionable insights and patterns from large datasets using advanced data mining techniques.
- Design and optimize data architectures, including data warehouses, data lakes, and ETL pipelines, for efficient data storage and retrieval.
- Independently establish processes to integrate data from disparate sources and systems to create unified datasets for analysis and reporting to various UCalgary stakeholders.
- Analyze unstructured text data using natural language processing (NLP) techniques for sentiment analysis, topic modeling, and entity recognition.
- Provide actionable insights and recommendations to support strategic decision-making and business growth initiatives.
- Collect and analyzes institutional research data, as well as external research data pertaining to such areas as external research funding, faculty, postdoctoral scholars, students, publications and citations, and knowledge translation.
- Collaborate with cross-functional teams and stakeholders to understand UCalgary business requirements and deliver data-driven solutions.
- Lead data analytics projects from inception to completion, including scoping, planning, execution, and delivery.
- Mentor data analysts, share best practices, and contribute to the technical development and knowledge sharing within the team.
- Stay updated with the latest trends, tools, and techniques in data analytics, machine learning, and related domains through self-learning, training, and conferences.
- Identify key research performance indicators, including comparative metrics among the U15 institutions and university ranking organizations.
- Independently create visually appealing and insightful charts, graphs, and dashboards to communicate findings and insights to stakeholders including University leadership, faculty, and staff.
- Independently explore datasets using statistical techniques and visualization tools to identify patterns, trends, and outliers.
- Utilize tools like Tableau, Power BI, or custom-built solutions to develop dashboards that provide real-time insights and allow users to interact with the data through filters and drill-downs.
- Develop advanced visualizations to present complex data insights in an understandable and impactful way.
- Craft a narrative around the data using visualizations to make the insights more compelling and understandable.
- Implement real-time data visualizations for live monitoring and analysis.
- Optimize visualizations for performance, ensuring they load quickly and are responsive, especially with large datasets.
- Develop and maintain positive working relationships with University contacts and external stakeholders; communicate within and outside the university in a professional and proficient manner.
- Participate as a member in the Research Metrics Community of Practice.
- Prepares and presents reports as required.
- Works independently on specific research activities and assignments.
- Identify and respond to priorities of the VPRO; ensure the strategic initiatives objectives are met within set deadlines.
- Represent the University at conferences when applicable.

**Qualifications / Requirements**:

- Post-secondary education, preferably an advanced university degree related to data science or business analytics, with 5 years related experience in statistics, research methods and data visualization.
- Advanced experience with tools and programing languages such as SQL, Python, R, Power BI, and Excel for data manipulation and visualization.
- Knowledge of Python libraries such as Pandas, NumPy, SciPy, Matplotlib, Sklearn, NLTK for data manipulation, statistical analysis, and visualization.
- Strong proficiency with writing code and developing tools for web scraping tasks is critical.
- Proficient in using statistical methods and analytical tools to understand trends, patterns, and relationships within the data.
- Proven ability in developing software code to streamline and enhance operational practices.
- Ability to analyze, design, and implement solutions to improv

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