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Top Data Science Jobs in Calgary
The Data Science Manager at Stripe will oversee and lead a team of data scientists, managing the roadmap and enhancing data-driven decision making across the company. Responsibilities include mentoring team members, collaborating with various stakeholders, and contributing to data science initiatives. The role requires strong technical expertise and effective communication skills.
As the Director of Data Quality, you will lead and mentor the QA team, implement and optimize QA policies, drive process improvements, and align QA objectives with business strategies to ensure the highest quality training data for generative AI applications.
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 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 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.
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
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.
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 Staff Software Engineer will lead R&D for data science-powered products, collaborate with engineering and product teams to move concepts to production, and provide technical expertise to stakeholders. Responsibilities include implementing data science solutions and educating team members on using data in marketing.
Wealthsimple is seeking a Senior Data Science Manager to lead a team responsible for data-driven product strategy and analytics. Responsibilities include managing partnerships with product teams, developing machine learning models, maintaining data quality, and creating integrated data models for analytics.
As Head of Data Science, you will lead data science initiatives and manage a team of data scientists. You will apply advanced analytical methods to large datasets, deliver data-driven insights, and collaborate with product managers and engineering teams to improve products and customer experience.
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 Manager of Marketing Data Science will lead the strategic roadmap for marketing analytics, collaborating with stakeholders to analyze complex marketing datasets and drive business growth. Key responsibilities include optimizing marketing efforts, implementing measurement plans, and providing insights for campaign performance and return on investment.
As a Senior Data Scientist at McAfee, you will develop and implement ML models focused on dynamic pricing and personalized recommendations to enhance customer experiences. Your responsibilities include creating algorithms to optimize consumer journeys, engineering data pipelines, and collaborating with cross-functional teams to ensure solutions align with strategic goals.
As a Senior Data Scientist, you will develop innovative ML solutions focused on pricing and recommendations. Your responsibilities include designing and implementing ML models, maintaining data infrastructure, collaborating with cross-functional teams, and conducting controlled experiments to validate solutions.
As a Data Scientist at StackAdapt, you will innovate machine learning algorithms to enhance advertising performance, write production code in collaboration with Data Engineers, and prototype algorithms using historical data. You will leverage your expertise in statistics and optimization while working in a supportive and collaborative environment.
As a Senior Data Scientist, you will apply your expertise in AI and machine learning to develop and prototype advanced analytics engines. You will collaborate with business partners to define problems, develop analytical models, and integrate solutions into data products, while also educating on the value of data-driven decision-making.
The Staff Data Scientist will optimize and troubleshoot Reinforcement Learning and Causal ML models for marketing campaigns, analyze ML algorithms, and create diagnostic tests to enhance OfferFit's product performance in collaboration with the ML engineering team.
The Lead Data Scientist will explore data from multiple sources to design new data modeling processes and develop predictive models. Responsibilities include providing project leadership, collaborating with cross-functional teams, creating algorithms, testing models, and proposing innovative techniques to advance data science practices within the business.
As a Data Scientist at Perplexity, you will develop insights from user behavior, conduct A/B testing, and implement metrics and visualizations. Collaboration with engineering, product, and design teams is essential to enhance product adoption and create dashboard analytics, thus shaping the company's growth trajectory.
As a Data Scientist at McAfee, you will analyze large datasets to derive insights that drive business objectives. Your main tasks include data profiling, transformation, and building data pipelines using SQL and Python. You will collaborate with stakeholders to ensure alignment of data with business goals and support the development of comprehensive customer profiles.
As a Senior Data Scientist at CaptivateIQ, you will analyze and transform data to support decision-making, create visualizations, and identify product improvement opportunities. You will utilize languages like SQL and Python, and BI tools for analysis and dashboard development.
The role involves building predictive and optimization models for business operations, identifying high-value customers, implementing time series forecasting, collaborating with Data Engineers, and prototyping machine learning algorithms. A strong statistical knowledge and coding proficiency are required to interpret business needs and implement data solutions effectively.
Top Calgary Companies Hiring Data Scientists
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