Decision Scientist in Canada

We are building the Finance team to help make data-driven and financially sound decisions for Scale. The team is responsible for improving strategic, financial, and operational decisions by partnering with the leadership team in making critical decisions across Scale. The Corporate Finance team is responsible for owning the company’s budget, helping to drive monthly forecasts and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. As AI reshapes the competitive landscape, Corporate Finance sits at the center of decisions about where Scale invests, how quickly we scale, and which bets we make. You will have a unique opportunity to work closely with department heads on real-time, high-priority business issues and use quantitative insights to drive better decision making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. What You’ll Do Provide analysis to support short and long-term decisions regarding workforce planning across the company. Own tools (such as the company's workforce planning system, TeamOhana) to automate and streamline reporting and headcount processes Partner cross-functionally with HR, Recruiting, Compensation, and Analytics teams to drive scalable analyses and insights. Define and maintain KPIs to measure impact on strategic initiatives and resource allocation. Manage the development, implementation, and administration of our financial forecasting system (Pigment) Partner with finance and accounting to drive process improvements (e.g. month-end close and reporting) Implement enhancements to forecasting tools, processes, and reporting deliverables that reduce manual work and improve data integration Support management, Board business, and financial planning, including presentations and key analysis requests Help execute

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Softare Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and fi nancial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Sta ff Software Engineer,Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will... Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because... 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects 6+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Pro fi ciency in programming languages such as Python/Kotlin/Scala 4+ years of experience in ETL orchestration and work fl ow management tools like Air fl ow Expert in database fundamentals, SQL, data reliability practices and distributed computing 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kaa/Flink/Spark Streaming Excellent communication skills and experience working

About the Team The New Verticals Business Development team is a small, fast-paced, high-performing group responsible for establishing, managing and scaling new lines of business at DoorDash in the retail and logistics space. You’ll leverage AI-powered insights, data-driven signals, and emerging tools to shape strategy, inform decision-making, identify opportunities, and drive growth across complex, enterprise-level engagements. By integrating AI and data-enabled analysis into day-to-day workflows, you’ll improve prioritization, execution, and business impact while partnering cross-functionally to translate evolving platform and AI capabilities into clear, tangible value for partners and the business. About the Role Your role will be focused on building out a team while managing and scaling enterprise level partnerships in the retail and logistics space. This role will get you in at the ground floor and operate at “start up” pace for one of DoorDash’s fastest and most promising new bets. As Associate Manager, Retail Partnerships you will report into the Senior Manager of Retail Partnerships in our Merchant Business Development organization. You’re excited about this opportunity because you will… Manage and cultivate enterprise relationships with leading retailers and ecommerce logistics players that will drive step change growth for DoorDash Lead renewals and upsell opportunities with existing merchant partners Shape product roadmap and go-to-market strategies based on merchant feedback Serve as the liaison between our partners and DoorDash leadership, product, legal, operations, and logistics teams Inform goals for growth and revenue (and its proxies); and advise on associated business resource needs Identify and pursue creative growth opportunities within the Drive organization We’re excited about you because… You have 8+ years experience in early stage business development, account management, client success, or strategic partnerships in technology or

About the Team The Enterprise Ad Sales Team is responsible for the marketing vision, development and growth of our largest advertising partnerships. This team was recently formed, and is seeking additional founding team members to build an industry-leading ads and promotions business across DoorDash’s core categories, starting with enterprise restaurant and consumer packaged goods (CPG) brands. The growing DoorDash ads business will quickly become the single best place for merchants and brands to market to local customers, in an ecosystem that benefits all parties. You’ll leverage AI-powered insights, data-driven signals, and emerging tools to shape strategy, inform decision-making, identify opportunities, and drive growth across complex, enterprise-level engagements. By integrating AI and data-enabled analysis into day-to-day workflows, you’ll improve prioritization, execution, and business impact while partnering cross-functionally to translate evolving platform and AI capabilities into clear, tangible value for partners and the business. About the Role The Account Manager, CPG will steer the company's efforts in adopting and partnering with major CPGs across our grocery, convenience, restaurant and retail markets. Digital grocery and convenience is expanding, and DoorDash is making meaningful strides to become a leader in this sector. You will build partnerships that create tangible value for both DoorDash and advertisers. In this role, you will manage the ads strategy across a focused portfolio of accounts, and drive adoption of our growing ads and promotions offering. You will also work cross-functionally with account executives, marketing, analytics, and product to innovate on our future approach and solutions. You will report into a CPG Industry Manager in our Enterprise Sales & Business Development organization. You’re excited about this opportunity because you will… Be part of the growing DoorDash Ads & Promos team Lead end-to-end marketing conversa

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying autonomous technologies in a service used by millions of people, then we want to talk to you! About the Role As an Industrial Designer on our team, you will own the design of physical products and help elevate our brand’s experience through form, function and manufacturability. You’ll be responsible for leading concept ideation, CAD modelling and prototyping, working across mechanical, electronics and user-experience domains. You’ll collaborate closely with engineering, manufacturing, sourcing, user-research and marketing, and participate in decision-making around product direction. This role offers ownership across the design lifecycle — from early sketches through production launch. You're excited about this opportunity because... Lead end-to-end design projects: develop concept sketches, CAD/3D models, renderings and physical prototypes. Conduct research into user needs, market trends, materials, manufacturing processes (injection moulding, thermoforming, additive manufacturing) and competitive products. Translate design intent into detailed specifications: materials, geometry, finishes, ergonomics, manufacturing constraints. Collaborate cross-functionally with engineering, manufacturing and product to ensure feasibility, cost-effectiveness and alignment with brand and product vision. Build and iterate prototypes (3D prints, machined models, mock-ups), validate usability, aesthetics, functionality and manufacturability. Present design concepts, flows and prototypes to stakeholders, incorporate feedback and drive decisions. Contribute to design language, visual identity and brand consistency across products. Why You’ll Love This Role You’ll shape real, tangible products that users will interact with and rely on. You’ll work in a small, high-impact team where your contributions

About the Team Product Partnerships sits within the Enterprise Sales organization and is responsible for the strategic vision, acquisition, management, and growth of DoorDash’s partnerships with all the merchant, restaurant technology, and advertiser technology providers. Given the scale and complexity of our key partners, this team is a critical component of DoorDash’s growth and success in every market we operate in. You’ll leverage AI-powered insights, data-driven signals, and emerging tools to shape strategy, inform decision-making, identify opportunities, and drive growth across complex, enterprise-level engagements. By integrating AI and data-enabled analysis into day-to-day workflows, you’ll improve prioritization, execution, and business impact while partnering cross-functionally to translate evolving platform and AI capabilities into clear, tangible value for partners and the business. About the Role We are looking for a Manager, Ecosystem Partnerships & Initiatives, to shape how we identify, structure, and scale our most important partner relationships across our Digital Commerce Platform. This role sits at the intersection of strategy, go-to-market, deals, product, and business operations, and will be a key thought partner to the Enterprise and GM leadership teams. You will own the operating system for the partnerships org: defining partner categories and partnership strategy; building frameworks for when to partner, build, or buy; driving cross-functional alignment (Product, Sales, Finance, Legal, Ops); and ensuring our deals are structured for long-term value and operational success. You will also own and drive the rhythm of the business, bringing structure and rigor to the lean, high-impact product partnerships team. This is a high-visibility, high-ownership role suited for someone who is equally comfortable building models in Excel/Sheets, creating exec-ready narratives, and working shoulder-to-shoulder with partner managers to land and scal

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

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. Lyft’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. La communauté qui vous attend : En tant que gestionnaire principal·e de la qualité, cette personne sera responsable du programme de qualité d'AirCover. AirCover est le produit d'assurance d'Airbnb pour les hôtes et pour la protection contre les dommages matériels. Il couvre les demandes d'indemnisation à l'échelle mondiale, chaque dossier comportant une incidence financière directe. Votre contribution : Ce rôle exige une personne responsable de la qualité, capable de travailler avec rigueur dans des environnements où les conséquences d'une mauvaise décision sont importantes, où les processus sont complexes et où la mesure de la qualité doit aller au-delà du respect des comportements attendus afin d'évaluer l'exactitude et la justification des décisions. Journée type : Leadership stratégique et responsabilité du programme Prendre en charge et exécuter la stratégie de qualité pour AirCover en fonction de l'évolution des besoins de l'entreprise. Agir à titre d'unique responsable de la qualité pour AirCover. Établir et optimiser des modèles et des cadres opérationnels alignés sur le COPC. Représenter la qualité pendant les réunions sur les rapports d'activités hebdomadaires, mensuelles et trimestrielles, et avec la direction supérieure, et présenter une analyse proactive qui met en évidence les risques émergents. Mesure et exécution de la qualité Superviser l'exécution de l'évaluation de l'assurance qualité pour l'ensemble d'AirCover, à l'interne et sur les sites partenaires de l'EPA dans le monde entier, en veillant à l'application cohérente des processus et des cadres d'assu

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: This Senior Quality Lead will own the quality program for AirCover. AirCover is Airbnb's host protection and property damage insurance product, handling claim reviews at global scale with direct financial exposure in every case. The Difference You Will Make: This function requires a quality leader who can operate rigorously in environments where the stakes of a wrong answer are high, the workflows are complex, and quality measurement must go beyond behavioral compliance to evaluate decision accuracy and defensibility. A Typical Day: Strategic Leadership & Program Ownership Own and execute the quality strategy for AirCover, aligned to the evolving needs of the business. Serve as the single accountable Quality leader for AirCover. Establish and optimize operating models and frameworks that are COPC-aligned. Represent quality in WBRs, MBRs, QBRs, and executive reviews; deliver a proactive narrative that surfaces emerging risks. Measurement & Quality Execution Oversee QA evaluation execution across AirCover, internally and at BPO partner sites globally, ensuring consistent application of QA processes and frameworks. Lead root cause analysis on systemic failures, translating QA findings into product, process, and policy recommendations that go beyond agent-level coaching. Define sample selection, alignment thresholds, root cause review, and evaluator-level remediation processes. Ensure evaluations close with a documented coaching action; build the tracking mechanisms to measure whether coaching is translating into performance improvement over time. Insight

About the Team Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails. About the Role We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations. This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies. Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces. Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements. Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations. Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership. Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes. Build hands-on solutions—SQL analyses, scripts, dashboards, LLM eval workflows, evidenc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron is seeking a highly skilled Armed Executive Protection (EP) Agent to provide comprehensive, discreet, and professional protective services to high-profile clients, senior executives, and VIPs. This role is responsible for safeguarding individuals through proactive risk mitigation, secure transportation, and close protection operations across dynamic and evolving environments. The ideal candidate brings a strong foundation in executive protection, situational awareness, and sound decision-making under pressure, with the ability to operate both independently and within a coordinated security team. Responsibilities: Conduct armed close protection and personal security for clients in various environments. Develop and implement threat assessments, route planning, and pre-advance operations. Monitor and secure client environments; to include residences, vehicles, and venues, while maintaining situational awareness. Coordinate real-time with the operations center and liaise with law enforcement/emergency services. Respond promptly to security incidents and emergencies. Maintain confidentiality regarding client details and movements. Minimum Qualifications: Minimum 3–6 years of executive protection experience in armed roles, military, law enforcement, or equivalent. Experience with high-net-worth individuals, C-suite, or in event security settings. Excellent physical

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. Lyft is seeking a Financial Analyst to join our FP&A team supporting Lyft Urban Solutions (bikeshare and micromobility), focusing on financial planning, RFP bid modeling, and strategic analysis. The ideal candidate will bring strong financial modeling expertise, attention to detail, a bias for action, and the ability to operate effectively with ambiguity. Combined with a continuous improvement mindset, this foundation will support strategic decision-making at Lyft. In addition to analysis in support of strategic decision-making, this role will also focus on financial close management and reporting. Responsibilities: Own core FP&A activities: budgeting, forecasting, variance analysis, and monthly financial reporting for leadership Support monthly close processes: reconcile actuals to budget, identify and explain variances, validate accruals, coordinate with Accounting Synthesize financial data from multiple sources (Oracle, fleet systems, P&L data) into clean, well-documented models Maintain and improve financial forecasting models and reporting processes Identify and implement process improvements to reduce manual effort, increase automation, and improve data accuracy and transparency Partner with Ops and Commercial teams on RFP requirements, cost assumptions, and financial modeling for bid scenarios Build comprehensive financial models for RFP bids: 10 year projections covering fleet sizing, capital deployment, unit costs, and profitability Conduct scenario analysis and sensitivity testing on RFP models to stress-test assumptions and inform decision-making Create and present financial analyses, decks, and leadership summaries communicating performance, insights, and recommendations Experience: Strong business acumen and ability to partner effectively across Operations, Commercial, and Fi