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Top Data Jobs in Calgary
As a Data Scientist at Instacart, you will own analytical frameworks that guide the product roadmap, design and interpret experiments, develop statistical models, and enable objective decision-making through data democratization. You will also leverage your skills in causal inference and machine learning to inform product improvements and present findings to leadership.
The Senior Data Scientist will analyze large datasets to generate insights, collaborate with the FinPlat team, design A/B tests, process data efficiently, create dashboards, and communicate findings to stakeholders. This role focuses on understanding customer behavior and improving product features.
The Senior Data Analyst will enhance the Developers and App Marketplace Analytics team by overseeing dashboards, ensuring data quality, and enabling data-informed decision-making. Responsibilities include developing databases, writing SQL queries, uncovering insights on developer experiences, assessing the impact of product features, and collaborating with various teams to evaluate marketing efforts.
As a Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, work on statistical modeling, evaluate A/B experiments, and collaborate with engineering teams on data integration and visualization. Your role focuses on enhancing the advertising growth through data-driven strategies in a fast-paced environment.
As a Senior Data Scientist, you'll own marketing holdout reviews, build models to optimize marketing ROI, design A/B experiments, analyze large datasets, influence marketing roadmap decisions, and create impactful data visualizations while collaborating with cross-functional teams to drive user acquisition efforts.
The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.
As a Senior Data Scientist in Lifecycle Marketing, you will leverage data science to enhance Cash App's marketing strategies. Responsibilities include optimizing marketing efforts through model building, analyzing A/B experiments, processing large datasets using SQL and programming languages like Python, and creating insightful visualizations. Your role will impact decision-making and influence the marketing roadmap based on data-driven insights.
The Senior Data Scientist will lead the development and implementation of advanced AI solutions, focusing on building cloud-native AI systems and algorithms that drive business value. Responsibilities include designing models, conducting research, collaborating with teams, and ensuring the quality and accuracy of AI processes from data acquisition to deployment.
Featured Jobs
The Senior Data Scientist will work with engineering and product teams to analyze user behavior, optimize products, and drive revenue growth. Responsibilities include conducting deep-dive analyses, developing segmentation strategies, creating dashboards, and collaborating with cross-functional teams to inform strategy and experimentation.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
As a Staff Data Scientist at Square Banking, you'll analyze and develop strategies for loan products, collaborating with cross-functional teams to enhance product offerings and optimize user experiences, impacting the way businesses obtain funding.
As a Senior Data Analyst at Dandy, you will drive revenue analytics, improve customer retention, and increase lifetime value. Responsibilities include developing insights for the revenue team, defining KPIs, facilitating decision-making through data tools, conducting A/B experiments, and mentoring other analysts.
As a Co-op Operations Data Analyst at Samsara, you will design data collection systems, work on data analysis with cross-functional teams, and create visualizations using tools such as Tableau and DataBricks. Your role includes conducting detailed budgeting and generating insights to assist with strategic initiatives in a remote setting.
As a Data Engineer, you will build and maintain data infrastructure for marketing, create data pipelines, analyze new data sources, and ensure SLAs are met. You'll collaborate with various teams to implement ETL processes and resolve data discrepancies, making improvements for efficiency and data quality.
The Senior Data Scientist will analyze and provide insights on Babylist's fulfillment and operations, focusing on optimizing supply chain management and revenue generation. Collaborating across teams, the role will involve creating data-driven reports and predictive models to support strategic decision-making.
The Presales Data Principal will collaborate with clients to understand their needs and design solutions using Snowflake and Databricks. Responsibilities include guiding clients on data best practices, crafting presentations, responding to RFPs, and leading technical sales processes. A strong data architecture understanding along with pre-sales experience is essential for success in this role.
The Staff Data Engineer will design and implement scalable data solutions, optimize data infrastructure, support Business Intelligence product development, and manage data workflows. The role involves collaboration with stakeholders to ensure alignment between data solutions and business requirements, while utilizing cloud-native technologies.
As a Sr. Data Scientist at Instacart, you'll own analytical frameworks, design experiments, develop statistical models, and enable decision-making through data democratization while collaborating with cross-functional teams to drive product improvements and influence leadership findings.
The Scalability Analytics Lead will design and maintain data pipelines, dashboards, and self-service tools. This role supports the Commercial organization by enhancing operational efficiency and leveraging data insights to drive business decisions. Collaboration with various teams and integration of AI capabilities will be key responsibilities.
As a Data Analyst at McAfee, you'll analyze large data sets to uncover insights, support data-driven decisions, and drive marketing strategies. You'll collaborate with various teams, leverage advanced statistical techniques, and develop strategies to optimize performance while ensuring data quality across multiple sources.
As a Senior Product Data Scientist at Waymo, you will collaborate with Operations, Product, and Engineering teams to enhance fleet response and monitoring. Your role involves performing advanced analytics and modeling, building reporting infrastructure, and communicating findings to leadership. You'll apply your coding skills, data visualization, and advanced problem-solving abilities to optimize Waymo's response operations.
The Risk Data Scientist will develop data-driven solutions to optimize risk management by leveraging advanced machine learning and statistical methods. Responsibilities include collaborating with stakeholders, managing large data sets, coding, keeping up with industry trends, and presenting insights to stakeholders.
The ML Data Engineer will develop and maintain ETL pipelines for machine learning, focusing on feature engineering, data integration, model training, and compliance. Responsibilities include optimizing data quality and performance, supporting model lifecycle management, and deploying high-performance pipelines for real-time inference.
Senior Data Curation Engineers at McAfee develop high-quality, curated data products on the Databricks platform. They collaborate with Technical Data Stewards and business end-users, ensuring data products meet specifications and governance standards. Responsibilities include data modeling, aggregation, implementation of ETL/ELT processes, and maintaining data quality.
The Sr. Manager of BI & Data Visualization will lead a team to design and implement data visualization solutions, oversee reporting capabilities, and drive data democratization by transforming complex data into actionable insights for stakeholders. Responsibilities include managing the development lifecycle of reporting tools, implementing NLQs, and mentoring team members while collaborating with cross-functional teams.
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