Data Science Manager - Shopping Experience

Join Us in Revolutionizing Grocery Shopping!At Instacart, we believe in the power of food to bring people together. Our mission is to ensure that everyone has access to the food they love, while also making it easier for them to spend more time enjoying it with their families and friends. We see grocery delivery not just as a service, but as a complex and exciting opportunity to meet the diverse needs of our community. Our platform provides essential grocery and household goods, while also offering flexible earning opportunities for our Instacart Personal Shoppers.Instacart has become a vital resource for millions, and we are expanding our team to continue driving our mission forward. If you’re ready to take on the challenge and make an impact, we’d love to have you at our table.Flexibility at InstacartWe understand that there isn’t a one-size-fits-all approach to productivity. Our employees enjoy the freedom to choose their work environment—be it from home, at an office, or your favorite café—while staying connected through regular in-person events. Discover more about our flexible work approach.OverviewAs part of the Shopping Experience team within our Core Experience group, you will lead the end-to-end consumer journey with a single retailer, from the storefront and browsing experience, through search and item discovery, all the way to cart and checkout. Our goal is to create intuitive, data-driven experiences that help customers find what they love quickly and efficiently.We are seeking a Data Science Manager to lead a team of talented data scientists and define the analytics and experimentation strategy across critical shopper interfaces, including storefront, browsing, search, cart, checkout, OSP, Family, Lists, and Meals/Health. In this dynamic, cross-functional role, you will collaborate closely with Product, Engineering, Design, and Operations teams to establish key metrics, enhance experiment design and outcomes, and provide insights that drive conversion, retention, and customer satisfaction, ultimately benefiting both our customers and retailer partners.This is a fast-paced, evolving environment where priorities shift and complex trade-offs are made across various initiatives, including Enterprise, Lifecycle, Category Growth, and Foundations work. If you thrive in a hands-on role and are motivated by clarity and purpose, you will excel here.

Join Lyft as a Data Science Manager focusing on our Rider App. In this pivotal role, you will lead a team of talented data scientists to enhance the rider experience through data-driven insights and innovative solutions. You will collaborate closely with product managers and engineers to drive strategic initiatives, leveraging analytics to inform decision-making and optimize product performance.Your expertise in data analysis and leadership will empower your team to tackle complex challenges and deliver actionable insights that enhance our rider services. This is an exciting opportunity to make a significant impact in a fast-paced environment.

Role Overview Instacart is looking for a Senior Data Scientist to help improve the shopping experience by advancing search capabilities. This role centers on developing and refining search algorithms, using data insights to make finding products smoother for users. What You Will Do Apply machine learning, statistical analysis, and data modeling to enhance search functionality. Work closely with teams across engineering, product, and design to deliver new solutions for online grocery shopping. Analyze user behavior and search performance to identify areas for improvement. Contribute to projects that make the shopping journey more efficient and intuitive. Location Remote within Canada (Ontario, Alberta, British Columbia, or Nova Scotia only).

As a Senior Data Science Manager in our Advertising Marketplace team at reddit, you will lead a talented group of data scientists and analysts to drive impactful insights and innovative solutions within our advertising ecosystem. Your role will be pivotal in shaping the future of our ad products and strategies, leveraging data to enhance user engagement and advertiser satisfaction.

Role overview Numeris seeks a Senior Manager of Data Science to lead remote projects from Toronto, focusing on audience measurement. This position guides a team of data scientists as they create analytical models and shape methodologies that support Numeris services. What you will do Supervise and mentor a team of data scientists working on audience measurement projects Direct the creation of advanced analytical models to enhance Numeris products and services Develop and refine methodologies that influence how Numeris delivers value to its clients Use data insights to support strategic decisions across the organization Impact This role is central to Numeris’s ability to adapt in a changing industry. The Senior Manager of Data Science helps determine the direction of analytics, ensuring that clients benefit from approaches grounded in current thinking and innovation.

Join Dropbox as a Senior Data Science Manager, leading our AI Products team in the development of innovative data-driven solutions. In this pivotal role, you will leverage your expertise in data science to drive product strategy, enhance user experience, and contribute to the advancement of AI technologies. Collaborate with cross-functional teams to design and execute data-centric initiatives that align with our vision and mission.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role. Role overview The Freelance Data Science Engineer works on complex projects in sectors including telecom, finance, government, e-commerce, and healthcare. The main focus is designing and validating data science problems that closely resemble real analytical workflows in industry. What you will do Create original computational data science problems that reflect real-world analysis tasks. Develop challenges that require advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Design problems that are computationally intensive and would take days or weeks to solve manually. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic problems with reproducible results by using fixed random seeds and avoiding stochastic elements. Address business topics like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end challenges covering the full data science pipeline, from data ingestion to deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions using Python and standard data science tools. Document each problem with a realistic business context and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. A portfolio of completed projects or publications that demonstrate strong problem-solving skills. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with a solid understanding of algorithms and practical applications. Proficiency in SQL and experience with database operations for analysis and manipulation. Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases. Familiarity with MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1 level or higher). How to apply Submit your application and CV in English. After passing the qualification process, join a project to complete tasks and receive payment. Location Remote , Manitoba, Canada

Join Lyft as a Data Science Decisions Specialist within our Verticals team! In this role, you'll leverage advanced data analytics and machine learning techniques to drive strategic decisions across various business domains. Collaborate with cross-functional teams to uncover insights that enhance operational efficiency and customer satisfaction.

About Super.comAt Super.com, our mission is to enhance the lives of our customers and our team alike, enabling everyone to embrace the full spectrum of life's opportunities. We are committed to ensuring that Super.com transcends being just a job; it is a platform for personal and professional growth, where learning is embraced and impactful contributions are recognized.We pride ourselves not only on being a dynamic, fast-growing tech enterprise but also on the care we extend to our employees, prioritizing career development. Your career matters to us, and we aim to supercharge it through our talented workforce, innovative projects, and supportive programs.About this RoleAs the Director of Analytics & Data Science, you will spearhead the evolution of our Analytics and Data Science division. Operating within our mission-aligned team model, your role will be to integrate various embedded teams—establishing unified standards, shaping analytical frameworks, and ensuring our initiatives consistently inform high-quality business decisions. You will collaborate closely with Product, Engineering, and Executive leadership to develop robust analytics and intelligent systems that drive growth, mitigate risks, and enhance customer experiences. This position requires a blend of strategic oversight, organizational structuring, and technical expertise to amplify our impact while maintaining agility across diverse business lines.About this TeamYou will be part of our dedicated Analytics & Data Science team, where being data-driven is a core value at Super.com. Our team is adept at utilizing Snowflake, DBT, and Amplitude, ensuring we leverage these tools to their fullest potential. We are seasoned practitioners who launch new experiments daily, and we invite new teammates to join us in building intelligent systems and making data-driven decisions.What You’ll Be Working On:Lead the expansion of the Analytics and Data Science organization, focusing on recruiting and developing managers and individual contributors while crafting team structures that facilitate deeper data science integration across all operations.Incorporate analytics and data science into fundamental business workflows, ensuring that insights, models, and strategies are consistently applied to enhance performance.

Tiger Analytics is a premier advanced analytics consulting firm that partners with Fortune 100 companies to unlock the true potential of their data. Our team of expert consultants specializes in Data Science, Machine Learning, and Artificial Intelligence, and has been recognized by leading market research firms like Forrester and Gartner for our significant business impact.We are currently looking for a highly skilled Onshore Consultant with extensive expertise in the Life Sciences domain. This role will involve close collaboration with client stakeholders to translate complex business requirements into actionable project plans. You will also work in partnership with our offshore teams to deliver top-notch analytical solutions.Key Responsibilities:Collaborate with client teams to gather, analyze, and document business and analytical requirements.Translate client specifications into clear directives for offshore delivery teams.Serve as the primary onshore contact for project coordination and execution.Oversee project management, deliver client presentations, and provide regular updates on project status.Utilize basic SQL queries for data extraction and analysis to support business insights.Convert client requests into precise project requirements and solution approaches.Work effectively with offshore teams to ensure timely and quality delivery.Proactively engage with clients to discuss relevant solutions based on Tiger’s capabilities.Qualifications:5–8 years of professional experience in the Oncology and/or Life Sciences domain.Exceptional requirement-gathering and client-facing consulting skills.Hands-on experience with basic SQL and data analysis.Proven track record of successful collaboration with offshore delivery teams.Strong communication and presentation abilities.Capability to manage multiple workstreams in a dynamic environment.Experience operating within global delivery models.Familiarity with analytics platforms, reporting tools, or data ecosystems in the Life Sciences sector.Benefits:As a part of Tiger Analytics, you will find extensive career development opportunities within a vibrant and entrepreneurial environment. This position offers the chance to contribute to a rapidly growing company while enjoying a high degree of individual responsibility.

Join GoMaterials, one of Canada's most dynamic companies, celebrated by Deloitte, Globe & Mail, and the Lazaridis Scaleup Program. We are innovating the way landscape contractors procure plant and hardscape materials through a B2B marketplace that modernizes a traditionally archaic industry.Since our inception, we have empowered landscapers by saving them time, money, and stress, successfully planting over 1.5 million plants and trees. Our energetic team of entrepreneurs is on an ambitious expansion journey across North America, and we are eager to welcome exceptional individuals to our team!About the Role:In this position, you will engage at the crossroads of data engineering, cloud infrastructure, and applied research, contributing to advanced Machine Learning (ML) models such as supervised and unsupervised learning, regression, classification, as well as Operations Research (OR) models for optimization and informed decision-making. Your responsibilities will include developing and maintaining scalable data pipelines, establishing and optimizing cloud infrastructure in Azure, particularly using Azure ML Studio as the core platform. You will uphold high standards of code quality and participate in the validation and monitoring of ML/OR projects to enhance experimentation and deployment.This role is perfect for a talented developer who is passionate about solving intricate, real-world challenges, thrives in a fast-paced environment, and seeks to significantly influence the success of innovative AI and optimization solutions.

Manager, Data Engineering (Product Intelligence) About Plusgrade Plusgrade is seeking an experienced Data Engineering Manager to lead a dedicated team focused on designing and operating the data infrastructure that supports our event-driven architecture, Machine Learning applications, and AI-powered products. If you are passionate about empowering ML and data science teams to work with robust, scalable, and high-quality data products, and you have a proven track record of building and managing high-performing data engineering teams, we would love to meet you. In this role, you will be responsible for the development and operation of core data pipelines, feature stores, model serving integrations, and real-time streaming infrastructure that supports ML applications, ML Ops, and data science initiatives. You will collaborate closely with ML engineers, data scientists, and platform teams to ensure that data systems meet the requirements of production ML/AI applications—balancing data freshness, reliability, scalability, and cost-effectiveness. You will also contribute to defining best practices in data engineering for event-driven architecture and ML use cases, promote the adoption of governance and compliance standards, and participate in shaping Plusgrade’s long-term data strategy. With a servant leadership approach and sound technical judgment, you will guide your team while collaborating with product and technical leaders to drive innovation throughout the organization. This role reports to the VP of Data Engineering. The Data Engineering Product Intelligence team is at the heart of Plusgrade's product vision, and we take pride in building the foundations that power our most advanced AI experiences.

Join our team at Flynn Companies as a Shop Mechanic! We are seeking a skilled mechanic with a passion for excellence and a drive to contribute to our success. In this role, you will be responsible for maintaining and repairing various equipment and vehicles, ensuring they operate efficiently and safely.

Job OverviewAs a Senior Collision Estimator at CSN Collision, you will oversee the complete estimating process from initiation to conclusion. Your responsibilities will include crafting precise estimates, liaising with insurance companies, and ensuring that all repairs adhere to OEM and industry standards, all while providing an exceptional customer experience. We are seeking a candidate with extensive hands-on estimating experience and outstanding communication abilities.Key Responsibilities:Conduct thorough inspections and provide accurate damage assessments.Utilize CCCOne and Mitchell estimating software to create detailed and accurate estimates.Review estimates with customers, providing clear explanations of repair needs and addressing any inquiries.Engage directly with insurance adjusters to negotiate approvals and supplements.Collaborate with production, parts, and repair teams to facilitate a seamless workflow.Maintain consistent communication with customers during the repair process to provide updates and ensure satisfaction.Perform final inspections to confirm the quality and completeness of repairs.Keep organized records of all estimates, supplements, and correspondence with insurance companies.Assist front office staff with customer service tasks as needed.

Join Egis Group as a Project Manager in Building Science, where you will lead innovative projects that shape the future of building design and construction. In this role, you will be responsible for managing multidisciplinary teams, ensuring project delivery within scope, budget, and time constraints while maintaining the highest standards of quality.Key responsibilities include:Leading project teams in the execution of building science projects.Collaborating with clients, architects, and engineers to ensure project objectives are met.Overseeing project timelines, budgets, and resources.Providing technical guidance and support to team members.

Join our dynamic team at Gorh as a Body Shop Estimator! We are looking for a detail-oriented professional who can provide accurate damage assessments and estimates for vehicle repairs. Your expertise will be crucial in ensuring customer satisfaction and operational efficiency.

Workplace Experience Manager (Montreal) Montreal, QCAbout the PositionWe are seeking a dynamic and people-focused Workplace Experience Manager to enhance the employee experience at our Montreal office and across Canada. This critical role is key to fostering a welcoming, efficient, and inspiring work environment while ensuring the seamless operation of facilities, IT equipment, and employee lifecycle processes.You will serve as a primary driver of employee engagement—shaping the daily experience, supporting employees locally, and leading initiatives that cultivate a positive and connected work culture.Your ResponsibilitiesEmployee Onboarding and OffboardingEnsure a smooth onboarding process for all new hires (equipment, access, welcome coordination, and first-day preparation).Collaborate with the talent acquisition team and hiring managers to provide a warm and structured welcome.Manage offboarding processes, including equipment return, access removal, and system updates.

Join Plusgrade as a Senior Data Scientist, where you will leverage your expertise to drive impactful data analysis and machine learning solutions. Collaborate with cross-functional teams to develop innovative strategies that enhance our product offerings and optimize customer experiences.

As the Workplace Experience Manager at Sodexo Canada Ltd., you will play a crucial role in enhancing the overall employee experience within our dynamic work environment. Your responsibilities will include developing and implementing strategies that foster employee engagement, satisfaction, and productivity.Your role will involve collaborating with various teams to create a workplace culture that supports innovation and teamwork. You will also be responsible for evaluating and improving existing workplace policies and practices, ensuring a positive atmosphere for all employees.

Role overview Marqeta is seeking a Customer Experience Manager to guide how clients and cardholders engage with its products and services. The position is open to candidates based in Toronto or Vancouver, with remote work available from anywhere in Ontario or British Columbia. What you will do Redesign and enhance customer and cardholder experiences to support business goals. Collect and analyze both direct and indirect feedback to identify trends, pain points, and opportunities for improvement throughout the customer journey. Turn complex data and ambiguous issues into clear, actionable recommendations, and oversee these initiatives from concept through execution. Shape and influence customer experience strategy, ensuring purposeful design and connecting strategy to practical outcomes. Foster a culture of continuous improvement and focus on measurable gains in customer satisfaction. Work location This role follows Marqeta’s Flexible First policy. Work remotely from anywhere in Ontario or British Columbia. Additional information This posting is not for an immediate vacancy.