Top Data Jobs in Calgary

As a Senior Data Scientist at StackAdapt, you'll build predictive and optimization models to enhance business operations, focusing on financial decisions, client revenue predictions, and time series forecasting while collaborating with internal teams to implement ML algorithms.

The Data Analyst will design and implement the company's data pipeline and ETL processes, collaborating with various teams to promote data-driven decision-making. Responsibilities include developing SQL queries for reports, optimizing data flows, and evaluating infrastructure tools for analytics.

The Senior Data Analyst at Wave will enhance Data Analytics maturity by addressing business challenges, developing solutions, and creating reporting dashboards. This role necessitates collaboration with stakeholders, improving analytics practices, and applying advanced analytics to business problems.

As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.

As a Data Engineer I, you will manage data models, ensure data fidelity and accessibility, collaborate across teams on KPIs and metrics, and enhance the analytics data stack for better efficiency and timely insights.

Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.

The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.

The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.

As a Lead Data Scientist, you will develop statistical methods for data products, mentor other data scientists, and collaborate with engineers to scale solutions. You will also work on building experimentation tools and enhancing user-facing features while ensuring high standards in statistical practices.

The Senior Data Analyst, Revenue Operations will build and manage data infrastructure to support revenue growth, mentor fellow analysts, and implement data-driven strategies. Responsibilities include creating dashboards, ensuring data reliability, collaborating with stakeholders, and utilizing data for strategic decision-making.

The Data Scientist will collaborate with teams to solve business problems through data analysis, clean and preprocess data, apply statistical methods and machine learning models, communicate insights through data visualizations, and continuously improve analytical processes.

The Senior Analyst, Data & Analytics will lead advanced data analytical solutions for the AML Enterprise group. Responsibilities include data interpretation, designing reporting solutions, presenting insights, collaborating with stakeholders, and supporting strategic initiatives in data management and analysis.

As a Senior Data Engineer at Walmart, you will develop scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams globally to optimize data workflows.

The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.

The Senior Data Scientist will develop advanced Machine Learning solutions for cybersecurity scenarios like threat detection and malware analysis. Responsibilities include end-to-end ML product development, addressing model issues in production, and collaborating with other data scientists.

The Senior Applied Data Scientist will analyze data to improve detection efficacy for email attacks, train models on well-defined datasets, and recommend new features for the detection system. They will monitor false negative rates and work to enhance the detection decisioning system's performance.

The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.