Top Data Jobs in Calgary
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 role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.
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 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.
As a Data Analyst at Stripe, you will extract insights from complex datasets, build data products, and deliver actionable recommendations. Collaborating across teams, you will translate business needs into data problems, developing scalable data pipelines and dashboards to inform decision-making.
As the primary Data Scientist at Versapay, you will explore and analyze complex datasets, develop and deploy machine learning models, and communicate insights through data visualization. You'll collaborate with cross-functional teams to support strategic decision-making and drive innovation within the company.
As a Senior Data Scientist at Flinks, you will lead the development and deployment of machine learning models, investigate data quality issues, collaborate with engineering teams, mentor colleagues, and contribute to research that transforms the financial ecosystem using advanced data science techniques.
The Manager, Data Transformation leads strategic initiatives in the Data Transformation team, ensuring data quality and process efficiency. Responsibilities include optimizing ETL processes and data pipelines, managing projects, collaborating across teams, implementing cloud-based solutions, and fostering a data-driven culture while adhering to governance standards.
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 role involves developing scalable batch processing systems within the Apache Hadoop ecosystem, managing Machine Learning pipelines, and utilizing GCP for data processing. The engineer will implement DevOps best practices and collaborate effectively in a remote environment.
The Principal Data Scientist will lead the predictive analytics practice within the Data & Analytics team, focusing on operationalizing ML models for financial metrics and customer forecasts. Responsibilities include refining time series forecast models, partnering with Data Engineering for infrastructure, and collaborating across teams to enhance model performance and address operational use cases.
The Staff Data Engineer will design and implement scalable data pipelines and systems to solve complex problems involving data, machine learning, IoT, and cloud infrastructure. This role includes contributing to enterprise architecture and collaborating with engineers to propose technical solutions that integrate with ecobee’s broader systems.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
Design, build, and maintain scalable ETL/ELT pipelines for data ingestion and transformation. Implement solutions to support analytics and machine learning, integrating diverse data sources and developing data warehousing solutions. Optimize data workflows and monitor infrastructure performance while collaborating with teams to ensure high-quality data solutions.
As a Data Engineer at Clover, you will develop and maintain data pipelines, tools for analytics, and machine learning. Collaborate with cross-functional teams to design ETL programs, manage data governance, and improve data quality while leading projects and mentoring junior team members.
As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.
The Data Scientist will lead projects using quantitative analysis and data modeling, providing insights for strategic decisions. They will collaborate with various teams to monitor performance metrics, integrate new data sources, and prepare executive-level communications, cultivating a data-driven culture within the organization.
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.
As a Senior Game Data Analyst, you will analyze data to deliver insights that enhance game design and revenue. Collaborating with stakeholders, you will define KPIs, ensure data quality, and translate business needs into technical requirements, while overseeing the analytics processes for PlayStation Studios.
As a Senior Data Analyst at Jane, you will lead analytical projects and collaborate with cross-functional teams to deliver insights that empower decision-making across the organization. Your role will involve mentoring junior analysts and enhancing data transparency and accuracy, focusing on making data-driven choices for healthcare practitioners.
As a Data Scientist at StackAdapt, you will innovate and implement machine learning algorithms to optimize advertising performance, write production code, and test algorithms using historical data to drive improvements. Collaboration with data engineers and a strong understanding of statistics and optimization is essential.
As a Data Analyst, you will manage the data pipeline roadmap, build connections to data platforms, perform ad-hoc analysis, synthesize data into insights, create dashboards, and provide actionable recommendations based on data analysis.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.
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