Data Engineer at Ample Insight Inc | Toronto

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.

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 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 Lyft's innovative team as a Data Scientist specializing in Decisions and Mapping. In this role, you will leverage data analytics to drive strategic decisions and enhance mapping solutions. Collaborate with cross-functional teams to turn complex data into actionable insights that shape the future of transportation.

At StackAdapt, we are at the forefront of marketing technology, enabling marketers to effectively reach, engage, and convert their target audiences with unparalleled precision. With an impressive capability of executing 465 billion automated optimizations each second, our AI-driven StackAdapt Marketing Platform expertly merges brand and performance marketing, delivering measurable outcomes throughout the entire customer journey. The most innovative marketers trust StackAdapt to orchestrate impactful campaigns across various programmatic advertising and marketing channels.Vertical Lead, CommerceAs a key member of StackAdapt's Vertical & Performance Solutions team, the Lead, Commerce Solutions will spearhead the strategy, development, and implementation of comprehensive commerce-focused solutions on StackAdapt's programmatic advertising platform. This pivotal role bridges product strategy, go-to-market execution, and cross-functional delivery, transforming the needs of commerce advertisers into scalable, revenue-generating solutions.Reporting to senior Solutions leadership, you will champion initiatives that enhance StackAdapt's competitive edge in the commerce ecosystem, encompassing retail media, commerce data integrations, measurement, optimization, and activation workflows. Collaborating closely with Product, Engineering, Sales, Analytics, Partnerships, and Operations, you will guide new capabilities from concept to commercialization and successful adoption.This is a highly visible position that combines strategic ownership with hands-on leadership, perfectly suited for individuals who thrive in dynamic environments and excel at building scalable solutions from the ground up.

At StackAdapt, we are a trailblazer in technology, empowering marketers to engage and convert their audiences with unparalleled precision. Our AI-driven StackAdapt Marketing Platform achieves an impressive 465 billion automated optimizations per second, seamlessly merging brand and performance marketing to yield measurable outcomes throughout the customer journey. The most innovative marketers rely on StackAdapt to execute high-impact campaigns across various programmatic advertising and marketing channels.The Vertical & Performance team at StackAdapt is dedicated to spearheading strategic growth initiatives across key verticals using our suite of programmatic advertising products. As the Senior Lead for Vertical & Performance Solutions, you will oversee projects and partnerships that enhance the platform's competitiveness, deliver tailored solutions to clients, and drive the evolution of new products and features. This position provides a unique opportunity to collaborate with leaders across departments such as Product, Engineering, Sales, Analytics, and Operations, shaping the future landscape of AdTech and MarTech.

We are seeking a detail-oriented Data Extraction Specialist to join our dynamic team at cmic. In this role, you will be responsible for extracting and analyzing data from various sources to support our business objectives. Your analytical skills and attention to detail will be crucial in ensuring data accuracy and integrity.You will work closely with cross-functional teams to identify data needs and implement effective extraction methods. If you are passionate about data and eager to contribute to impactful projects, we want to hear from you!

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.

About Alloy.ai Alloy.ai works with consumer goods companies to help them manage the complex balance of supply and demand. Our partners make the products people use, wear, and enjoy every day. We focus on solving challenges around shifting consumer habits, complicated supply chains, outdated data standards, and manual workflows. We are a growing, well-funded startup with a global reach. Our team includes people from successful startups, leading tech firms, and Fortune 100 companies. We value individual ownership, continuous improvement, meaningful work, open communication, and strong support for one another. We welcome candidates from all backgrounds. Alloy.ai is committed to building an inclusive culture and celebrating diversity. Role Overview: Data Integration Specialist (Contract) This contract position joins our implementation team in Toronto, ON. Alloy.ai’s network-based data platform is a core asset. We help manufacturers quickly integrate data from their trading partners, retailers, suppliers, distributors, and logistics providers, faster than most competitors. Our infrastructure supports over 400 active integrations, many of which are reusable across customers. The implementation team builds and deploys client data integrations, following best practices throughout each project. In this role, you will work closely with integration specialists, project managers, and engineers. What You Will Do Support project teams in delivering retailer data integrations for clients Develop data mapping procedures for new retailer data feeds, following established guidelines Ensure integrations are delivered on schedule Create data transformations for our continuous data pipeline Gain exposure to the data operations of major retailers and learn about the business processes behind well-known brands What We Look For Curiosity and creativity in approaching new problems Strong analytical and problem-solving abilities Clear and effective communication skills

Join Gorgias as a Senior Data Scientist and play a pivotal role in transforming our data into actionable insights. In this position, you will leverage your expertise in statistical analysis, machine learning, and data visualization to enhance our customer experience and drive strategic decision-making. Collaborate with cross-functional teams to develop innovative solutions and contribute to our mission of providing top-notch support for e-commerce businesses.

Role overview Pinterest is hiring a Senior Data Scientist in Toronto, ON. This role focuses on using advanced data analysis and machine learning to guide business decisions and improve the user experience. What you will do Analyze large datasets to uncover insights that inform product and business strategy Apply machine learning methods to solve real-world problems on the Pinterest platform Work closely with teams across the company to develop and implement data-driven solutions Help optimize features and experiences for millions of Pinterest users

Join our dynamic team as a Lead Data Scientist, where you will:Collaborate closely with our clients' executive and technical teams to steer their strategies in AI, analytics, data engineering, and overall data management.Identify and advocate for innovative projects that tackle intricate issues across diverse sectors.Utilize advanced skills and core data science techniques (such as experimental design, recommender systems, and machine learning) to drive enhancements in our clients' operations.Design and implement comprehensive data pipelines, collaborating with stakeholders to develop models, tables, or schemas that enhance our clients' business workflows.Enable both internal and external teams to establish and maintain actionable KPIs, production-ready dashboards, insightful analyses, and scalable data products.

About the RoleJoin our innovative team at Cosmo as a Data Analyst, where you will play a pivotal role in leveraging data to enhance our product offerings, customer experience, and operational efficiency. This position involves close collaboration with diverse teams to establish robust analytics frameworks, generate actionable insights, and steer strategic initiatives through data-driven decision-making.Key ResponsibilitiesCollaborate with cross-functional teams to identify data needs and create comprehensive dashboards, curated datasets, and reporting tools essential for daily operations.Design and maintain analytical data models that facilitate scalable and reliable data analysis.Provide insights into customer behavior, product performance, and subscription metrics to inform decisions across Product, Marketing, and Operations.Create and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate outputs into operational dashboards.Automate regular analyses, segmentation strategies, and reporting processes to enhance efficiency and reduce manual workloads.Lead initiatives for data unification, including evaluating data sources, strategizing integration, and designing canonical datasets.Contribute to best practices in analytics and data engineering, focusing on documentation, validation, and data quality standards.

Join the dynamic team at Achievers as a Data Scientist, where you'll leverage your analytical skills to drive data-informed decisions and enhance employee engagement. You will be responsible for analyzing complex data sets, building predictive models, and providing actionable insights that will help shape our strategic initiatives.

Tiger Analytics seeks a Senior Manager for Business Intelligence Consulting with a focus on life sciences and pharmaceutical clients. This is a remote role based in Toronto, Ontario, Canada. Role overview This position centers on leading teams and delivering analytics-driven consulting projects for organizations in the life sciences and pharma industries. The Senior Manager guides projects from initial planning to final execution, ensuring deliverables meet quality standards and deadlines. What you will do Direct a team of analysts and consultants working on client projects within life sciences and pharma. Oversee all stages of project delivery, from planning through execution, with a focus on quality and timeliness. Collaborate with cross-functional groups to coordinate project efforts and encourage knowledge sharing. Apply data analytics best practices to help clients make informed decisions and streamline operations. Engage with stakeholders to understand their business needs and design solutions for complex challenges.

Role Overview The Princess Margaret Foundation at University Health Network is looking for a Senior Philanthropic Communications Specialist (Science Writer) in Toronto. This role focuses on communicating the impact of cancer research and philanthropy by turning complex scientific work into clear, engaging stories. What You Will Do Work closely with researchers to translate scientific findings into accessible content for a range of audiences Write press releases that highlight research breakthroughs and philanthropic milestones Create materials designed to engage donors and stakeholders, explaining the significance of ongoing projects Support communication strategies that help the Foundation’s mission connect with the public, donors, and partners Impact This position plays a key part in shaping how the Foundation’s research and fundraising efforts are understood and supported. The work helps ensure that scientific advances and the generosity of donors are clearly communicated to those who make progress possible.

About AirwallexAirwallex is a pioneering unified payments and financial platform designed specifically for global businesses. With our proprietary infrastructure and innovative software solutions, we empower over 200,000 businesses worldwide, including notable names like Brex, Rippling, Navan, Qantas, and SHEIN, to seamlessly manage their business accounts, payments, spend management, treasury functions, and embedded financial services on a global scale.Founded in Melbourne, we have cultivated a diverse team of over 2,000 bright minds in technology across 26 global offices. Valued at an impressive US$8 billion, we are supported by top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. Join us in shaping the future of global payments and financial solutions.

About FaireFaire is a pioneering online wholesale marketplace driven by the conviction that the future lies in local commerce. Independent retailers worldwide are generating more revenue than industry giants like Walmart and Amazon combined, yet they often remain overshadowed by these large corporations. At Faire, we harness the power of technology, data, and machine learning to unite this vibrant community of entrepreneurs. Imagine your favorite local boutique — we empower them to discover and showcase the best products from around the globe. With the right insights and tools, we aim to level the competitive landscape, enabling small businesses everywhere to stand shoulder to shoulder with large retail chains.By fostering the growth of independent businesses, Faire is making a significant positive economic impact on local communities globally. We seek intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you share our belief in the power of community, we invite you to be a part of ours.About This RoleAt Faire, we utilize advanced machine learning (ML) and data analytics to transform the wholesale sector, empowering local retailers to effectively compete with major players such as Amazon and big box stores. Our talented team of data scientists and machine learning engineers is dedicated to developing innovative algorithmic solutions for notification systems, recommendation engines, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate mission is to equip local retail businesses with the essential tools for success.The Data Science team at Faire is tasked with designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are committed to building machine learning models that facilitate our customers' success.As a Data Scientist on the Retailer team, you will engage in a variety of challenges, including optimizing logistics and freight costs and determining optimal credit limits. You will also play a vital role in expanding Faire's retailer base by enhancing search engine optimization, personalizing landing pages for new retailers, and forecasting retailer lifetime value. You will work closely with fellow data scientists, engineers, and product managers to execute projects that derive value from our unique, extensive, and rapidly evolving two-sided marketplace data.Our team comprises experienced Data Scientists and Machine Learning Engineers from leading organizations such as Uber, Airbnb, Square, Facebook, and Pinterest. With your contributions, Faire aims to become a premier destination for data scientists and machine learning professionals.

About Borrowell:At Borrowell, our mission is to empower Canadians to take charge of their financial futures. We provide the necessary tools and insights to help individuals understand, build, and effectively utilize their credit. Currently, 1 in 10 Canadians rely on Borrowell for extensive credit monitoring and tailored insights. Our innovative offerings, such as Credit Builder and rent reporting, assist consumers in enhancing their credit profiles, enabling access to a broader array of financial products at more competitive rates. Additionally, we deliver personalized financial product recommendations from Canada's most trusted providers, aligning with each member's credit profile and financial aspirations.Our team thrives on diversity, inclusivity, and a shared commitment to making a significant difference in the lives of Canadians. We cultivate a collaborative, humble, and innovative culture. If you are eager to join a company that is reshaping the financial landscape and empowering Canadians to achieve their financial goals, we encourage you to explore career opportunities at Borrowell. Together, we can inspire confidence in managing money.About the Role:As a Senior Data Scientist, you will be pivotal in shaping Borrowell's core machine learning capabilities and guiding product direction through data-informed decisions. You will collaborate closely with leaders from Product, Business, Data, and Engineering to design, build, and scale machine learning systems that enhance member experiences, drive our recommendation and ranking engines, and directly influence marketplace conversion and approval metrics.This role is hands-on and product-oriented, granting you end-to-end ownership—from problem identification and model design to testing, measurement, and iteration within production. You are expected to serve as a technical leader, establishing modeling directions and elevating data science standards across the organization.In your first year, you can anticipate:Leading impactful machine learning initiatives, including crucial technical and product trade-off decisions, with the aim of improving business KPIs through product ranking, intent prediction, and approval likelihood models.Translating strategic objectives into actionable models, collaborating with Product and Business stakeholders to define complex business goals as clear machine learning problems, success metrics, and experimental plans.Building, evaluating, and continuously refining production models by developing robust features, training, calibrating models, and enhancing performance through systematic evaluation and A/B testing.Driving measurable business results by correlating model performance with conversion rates, approval statistics, revenue, and member engagement, and effectively communicating the impact to stakeholders.Establishing best practices for experimentation and model deployment.