Analyst in Canada

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast. Example Projects Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets Build orchestration for fleets of asynchronous agents running long-horizon tasks Develop systems that automatically alert users to deviations and anomalies in incoming data Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents Build evaluation infrastructure that measures model reliability against mission requirements Ship full-stack tooling that lets analysts query, visualize, and explore mission data Deploy and harden applications into secure, air-gapped, and cloud-native government environments Requirements A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering expe

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Join Hasbro as a Systems Specialist for a maternity leave replacement (12 months) and become an integral part of our innovative team in Longueuil, QC, Canada. This outstanding opportunity will enable you to work on developing, improving, testing, and maintaining the system environments that support our creative and product development. You’ll work closely with experienced professionals to ensure our systems operate flawlessly and efficiently! What You Will Perform as a Systems Specialist: Develop, improve, and test automated workflows supporting the development of products, digital, and printed assets. Support User-Acceptance-Testing of new or updated workflows by fixing errors and implementing testers’ change requests. Propose and build solutions to help systems’ day-to-day users manage their workload and measure their performance through data dashboards. Build searches to pull data from systems to support reports developed or used by day-to-day users and Data Analysts. Develop training materials and conduct training sessions for new system users. Collaborate with Digital Content Specialists to define and apply conventions and guidelines for maintaining an organized and secure systems environment. Identify new system features to improve day-to-day users’ efficiency and share with Process Managers and Digital Content Specialists. What You Will Bring: Excellent analytical skills and ability to solve problems. Ability to understand complex processes and transform them into automated workflows. Organizational skills with high

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Joignez-vous à Hasbro à titre de spécialiste des systèmes (remplacement de congé de maternité, 12 mois) Joignez-vous à Hasbro en tant que spécialiste des systèmes dans le cadre d'un remplacement de congé de maternité d'une durée de 12 mois , et devenez un membre clé de notre équipe innovante à Longueuil (Québec), Canada . Cette excellente occasion vous permettra de contribuer au développement, à l'amélioration, aux essais et à la maintenance des environnements systèmes qui soutiennent nos activités de création et de développement de produits. Vous collaborerez étroitement avec des professionnels expérimentés afin d'assurer le bon fonctionnement et l'efficacité de nos systèmes. Ce que vous ferez Développer, améliorer et tester des flux de travail automatisés soutenant le développement de produits ainsi que d'actifs numériques et imprimés. Soutenir les essais d'acceptation par les utilisateurs (UAT) des nouveaux flux de travail ou des flux mis à jour en corrigeant les anomalies et en mettant en œuvre les demandes de modification formulées par les utilisateurs. Proposer et développer des solutions permettant aux utilisateurs des systèmes de mieux gérer leur charge de travail et de mesurer leur performance à l'aide de tableaux de bord. Concevoir des recherches permettant d'extraire des données des systèmes afin d'alimenter les rapports utilisés par les utilisateurs et les analystes de données. Élaborer du matériel de formation et offrir des séances de formation aux nouveaux utilisateurs des systèmes. Collaborer avec les spécialistes d

Solution Architect Sigma Computing The SA role has evolved. Here’s the version we’re hiring for. The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up. 1. Use AI every day to do the job better. If you are not using Claude, ChatGPT, Cursor, or equivalents to accelerate your account prep, architecture diagramming, prototype builds, RFP responses, and discovery synthesis, you are getting outworked by SAs who are. We expect this hire to treat AI tooling as default infrastructure, not novelty. Come with a point of view on what you run, why, and how you use it to compress weeks of work into days. 2. Sell AI into the account. Buyers want to talk about agents, MCP, A2A, context engineering, and which model is powering what. You have to be fluent. You know Sigma’s AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, and warehouse-native agent patterns. You can architect Sigma agents and warehouse agents into a customer’s stack and explain the tradeoffs to a head of data and a CISO in the same call. You also speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs. 3. Sell against AI. Every enterprise deal has AI competition in it. Sometimes it is Databricks Genie. Sometimes it is Snowflake Cortex Analyst. Sometimes it is a systems integrator pitching a bespoke agent built over the weekend. You know where each of these breaks at scale, where Sigma’s warehouse-native architecture wins on governance, freshness, and cost, and how to draw the line for a skeptical CDO without hand-waving. You can defend that position in an architecture review, on a security questionnaire, and across three follow-up calls. About Sigma Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, an

Scale's mission is to develop reliable AI systems for the world's most important decisions. We provide the high-quality data that powers the world's AI models, and we help enterprises and governments build, deploy, and oversee AI applications that create real impact. As Communications Manager, Corporate and Product, you will help shape how Scale shows up when it comes to our work building enterprise AI, spanning company narrative, product launches, partner communications, media presence, and executive visibility. This role is centered on translating complex enterprise AI deployments and partnerships into clear, compelling narratives that resonate with business and vertical industry audiences. A core focus of the role is pitching and positioning Scale's enterprise wins, product launches, and customer partnerships, including how organizations across industries are using Scale's Generative AI Platform to build, deploy, and oversee AI applications that create real impact. You will also work closely with communications counterparts at partner companies to align messaging and coordinate joint announcements. You will help tell the story of how Scale's enterprise business powers mission-critical AI programs for the world's most consequential organizations, from Fortune 500 companies to leaders across every major industry. In this role, you will partner closely with enterprise product leaders and go-to-market teams, as well as teams across communications, social, and marketing. You will play a key role in strengthening Scale's reputation with enterprise customers, industry analysts, and the broader technology ecosystem. This position reports directly to the Head of Corporate & Product Communications. You Will Support corporate and product communications initiatives with a strong emphasis on Scale's enterprise business, including customer and partnership announcements, product launches, executive visibility, and industry positioning. Help translate co

About the Team DoorDash Digital Ordering is DoorDash’s leading SaaS business unit, offering a suite of products across online ordering, branded websites and mobile apps, loyalty solutions, and more that enable restaurants to reach customers and grow their revenue through their own first-party channels. The business is one of the fastest-growing segments within DoorDash, and yet is only scratching the surface of a generational opportunity to better serve hundreds of thousands of merchants across the Americas to help them grow their business and improve working lives in one of the country’s biggest industry sectors. Strategy & Operations sits at the center of that opportunity. The team partners with Product to set the strategy and vision for every offering in the suite, across our SMB and enterprise merchants. We decide what to build, where to invest, and how to bring it to market, and we learn by putting products in front of merchants and running the experiments that show us what moves their business. As part of this team, the Associate Manager will take end-to-end ownership of a set of products and lead the cross-functional effort to grow them. Your work will be instrumental to helping transition DoorDash from a consumer marketplace to an industry-leading B2B SaaS company. About the Role As an Associate Manager on the Digital Ordering Strategy & Operations team, you will own a set of products within our first-party suite from end to end. You will set the strategy and priorities for those products in partnership with Product, be accountable for their growth, and lead the Product, Engineering, Analytics, Implementation, Sales, and Marketing partners who bring them to market. This role is ideal for a strategic operator who can move fast and wear many hats, equal parts analyst, builder, operator, and cross-functional leader. You will own zero-to-one experiments alongside products already operating at scale, help shape the roadmap with Product, and work directly

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth Business Operations Dasher & Logistics Customer Experience & Integrity Merchant, Ads & Sales New Verticals International Data Science About the Role As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts on how to use more advanced methods and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Report aga

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Marketing Enablement & Technology (MET) team sits natively within Instacart's Marketing organization, owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth. We're hiring an Analytics Engineer II to help build and evolve the marketing analytics data foundation. In this role, you'll independently design and deliver high-quality, business-aware data models and pipelines that Data Scientists and Analysts trust — owning your work end-to-end, raising the quality bar through code reviews and design discussion, and growing toward broader technical ownership of marketing data. About the Job Marketing Analytics Data Development: Independently build and maintain high-quality dimensional dat

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team You'll be joining our Okta Customer Acceleration organization, a high-impact team focused on defining and optimizing the self-service journey for our customers across Knowledge, Online Support, and Communities. Our mission is to transform the customer experience by enabling efficient, accurate, and engaging self-service solutions. The Opportunity We're looking for an experienced AI Trainer and Optimization Analyst to take full ownership of our customer support agentic experiences. This is a critical specialist role that offers the chance to directly influence millions of customer interactions annually. You will act as the primary expert on the AI agent's performance, applying a strategic mindset to continuously analyze conversational data and leverage analytics to enhance the bot's ability. You will be responsible for: Implementing prompt engineering best practices. Ensuring the agent provides accurate, efficient, and on-brand support. Managing the bot's tone and ethical guardrails to prevent hallucination and incorrect assumptions. "Thinking bigger" to bring new, strategic ideas for leveraging the agentic experience for maximum customer impact. What you’ll be doing You will be the dedicated owner of the AI agent's conversational experience: Own Conversational Quality & Tone: Act as the primary owner for the AI agent's output, managing the content, tone, and ethical guardrails to ensure responses are accurate, on-brand, and

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Our Deal Team members collaborate with multiple Palantir teams to proactively engage with existing and prospective commercial customers, leading the structuring and negotiation of deal terms so that Palantir can continue to drive positive impact in the world. As a member of the Deal Team, you will partner closely with Palantir’s Legal, Finance, Sales, and Engineering teams to drive deal execution and support our growth efforts at scale, while directly owning the development and negotiation of commercial terms for commercial customers. You will use your expertise to unite our customer’s needs and considerations with our company’s strategy, using your creativity to identify the right commercial structure and approach for each customer. You will also utilize your understanding of the business landscape and build relationships with internal partners, increasing the visibility of deal progress and forecasting impact across all levels of our organization, from analysts to C-suite executives. In this role, you will also support various special projects that arise at our fast-paced, mission-focused company. We’re a team that values both creativity and teamwork. Whether operating solo or collaboratively, we endeavor to achieve great results on challenging, time-sensitive deal discussions and projects. You'll be given open ended objectives and expected to find ways to turn them into outcomes. By focusing on the broad vision without losing sight of the details, you'll bring large and multi-phase deals to successful completion while prioritizing team outcomes over individual wins. You are able to deliver complex commercial contract and deal information in an unde