Data Scientist - Machine Learning at Ample Insight Inc. | Toronto

At GPTZero, we are dedicated to fostering trust and transparency in the digital realm. As the premier AI detection platform, we empower educators, students, journalists, marketers, and writers to adeptly navigate the complex world of AI-generated content. With millions of users and institutions depending on us, we are building a category-defining company that sits at the crossroads of artificial intelligence and information integrity.Our team is composed of professionals from high-performing engineering backgrounds, including industry leaders like Meta, Perplexity, AWS, and Affirm, alongside top-tier AI research institutions such as Princeton, Caltech, and the Vector Institute.We are on the lookout for a skilled Product Data Scientist who can analyze user behavior and product performance, conduct experiments, and create insightful dashboards that illuminate customer interactions with our web, API, and machine learning-based products. Your contributions will aid teams in making informed product decisions, enhancing user engagement and retention, while ensuring our models provide tangible value in real-world applications.

At GPTZero, we're dedicated to restoring trust and transparency on the internet. As the foremost AI detection platform, we empower educators, students, journalists, marketers, and writers to adeptly navigate the constantly changing landscape of AI-generated content. With millions of users and institutions relying on our services, we're forging a trailblazing company that stands at the crossroads of AI and information integrity.Our team comprises individuals from high-performing engineering cultures, including Meta, Perplexity, AWS, and Affirm, as well as esteemed AI research labs such as Princeton, Caltech, and Vector Institute.What We Are Looking ForAt GPTZero, we are committed to ensuring that machine learning models are developed for the benefit of humanity. In this role, you will contribute to building a next-generation platform aimed at verifying the origin, quality, and factuality of global information. The ideal candidate will have a solid background in machine learning research, an exceptional product sense, and proficiency in software engineering. You will collaborate with a fast-paced team of dedicated innovators, creating industry-defining software that has garnered over 2 million users worldwide. Previous intern projects have been showcased to venture capitalists and state-level policy leaders.ResponsibilitiesDepending on the candidate's strengths, this role can focus more on machine learning engineering or research with an emphasis on publications.Design, train, and fine-tune cutting-edge large language models.Develop AI agents that integrate retrieval-augmented language models.Create efficient and scalable machine learning training and inference systems.Stay abreast of the latest literature and emerging technologies to address novel challenges.Collaborate closely with product and design teams to develop user-friendly applications that drive societal impact.QualificationsProficiency in Python and PyTorch.Experience in pushing the boundaries of machine learning implementation.Self-starter with a strong desire to learn.Highly motivated to contribute positively to society.Ability to adapt and take on multiple roles.Valid work visa for Canada or the US.Bonus:A robust open-source portfolio.Publications in prestigious machine learning venues.

At GPTZero, we are dedicated to enhancing trust and transparency across the internet. As a pioneer in AI detection technology, we equip educators, students, journalists, marketers, and writers with the tools needed to navigate the complex world of AI-generated content. With millions of users and institutions depending on our platform, we are committed to creating a company that defines the future of AI and information integrity.Our diverse team comprises professionals from top-tier engineering backgrounds, including Meta, Perplexity, AWS, Affirm, and renowned AI research institutions such as Princeton, Caltech, and the Vector Institute.Your RoleWe are seeking skilled Quality Assurance Analysts to enhance our platform's user experience for our vast user base. The ideal candidate will be meticulous, self-sufficient, and possess a keen understanding of product quality. You will play a vital role in a dynamic team that is passionate about promoting critical thinking for humanity.

Join Stripe as a Data Scientist and play a pivotal role in shaping the future of financial technology. As a Data Scientist at Stripe, you will leverage your analytical skills to extract meaningful insights from complex datasets, drive strategic initiatives, and contribute to innovative solutions that enhance our products and services.In this role, you will collaborate with cross-functional teams to develop data-driven strategies, implement algorithms, and drive business outcomes. Your expertise will be crucial in informing decisions and optimizing processes across various departments.

Join Opendoor, a dynamic and innovative company transforming the real estate industry through technology. As a Data Scientist, you will leverage your analytical and statistical skills to extract meaningful insights from complex data sets, driving strategic decision-making.

Join Opendoor as a Data Scientist and play a crucial role in transforming the real estate industry through data-driven insights and innovative solutions. In this role, you will leverage your analytical skills to extract meaningful patterns from complex datasets, helping to drive strategic decisions and improve our product offerings.

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.

Join our dynamic team as a Data Scientist, where your passion for Machine Learning meets your expertise in Statistics and Computer Science. You will work on innovative data science projects utilizing both structured and unstructured data, with the goal of developing scalable machine learning models that impact business outcomes. Your role will involve creating data products that provide valuable insights, and your critical thinking and problem-solving skills will be key to your success.

Relay is an innovative digital banking platform designed to empower self-made entrepreneurs with essential financial tools and insights. Our mission is to eliminate financial uncertainty, providing clarity, confidence, and control over every dollar earned, enabling business owners to transform their hard work into enduring success.We are seeking an experienced Senior Data Scientist to join our impactful Data team. In this pivotal role, you will enhance Relay's data capabilities by developing predictive models, facilitating experimentation across various teams, and supporting data-driven decision-making processes. As a key strategic partner, you will collaborate closely with data engineering and business intelligence to translate complex business inquiries into actionable insights that drive success in GTM, Sales, Finance, and Product.Note: We operate in a hybrid work environment, collaborating in the office three days a week (Tuesday to Thursday).Key ResponsibilitiesLead predictive modeling initiatives across critical business areas such as customer lifetime value (LTV), churn analysis, retention strategies, and customer quality assessment.Facilitate the implementation of Relay's experiment infrastructure, establishing rigorous A/B testing protocols to enable confident, data-informed decisions across the organization.Collaborate with cross-functional teams including GTM, Sales, Finance, and Product to convert ambiguous business challenges into well-defined analytical problems with measurable outcomes.Define and refine core metric definitions to ensure the business operates from a consistent and reliable data foundation.Present insights and findings to stakeholders through compelling narratives that go beyond mere numbers, illustrating their implications and next steps.Contribute to strategic roadmap planning and influence prioritization decisions among data team members and cross-functional partners.Mentor junior data scientists to elevate the standard of business-aligned, impactful data science across the team.Ideal Candidate ProfileYou possess hands-on experience in building...

About Clutch: Clutch is Canada's leading online retailer of pre-owned vehicles, providing an effortless and hassle-free car-buying journey for drivers across the nation. Customers can explore an extensive selection of cars from the comfort of their homes, have their chosen vehicle delivered directly to their doorstep, and enjoy peace of mind with our 10-Day Money-Back Guarantee. This is just the beginning of the exceptional experience we offer. Recognized as one of Canada's fastest-growing companies for two consecutive years and featured on LinkedIn's Top Canadian Startups list, we are eager to welcome inquisitive, dedicated, and motivated individuals to our expanding team. Founded in 2017 and headquartered in Toronto, Clutch is supported by renowned investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To discover more, please visit clutch.ca. About the Role: We are on the lookout for a Staff Data Scientist to spearhead significant advancements in our pricing algorithms and machine learning systems. This high-responsibility role is ideal for someone who excels in uncertainty, can delve deeply into research and modeling, and has a proven history of deploying machine learning solutions that yield measurable business results. You'll work on machine learning systems that already contribute to substantial outcomes, including pricing models that enable the purchase of over $1 million in vehicles daily without human intervention, with a remarkable opportunity to enhance them as we continue to scale. Joining a compact, high-impact data team, your contributions will be visible, measurable, and vital to our business, with opportunities to expand into other influential machine learning areas such as lending, logistics optimization, fraud detection, and recommendation systems. In this role, you will manage problem areas end-to-end—from identifying opportunities and developing strategies to deploying production-ready models and driving quantifiable improvements in margin and conversion rates. Your Responsibilities: Lead and enhance Clutch's pricing algorithms, striking a balance between margin, conversion, and customer satisfaction. Conduct in-depth analyses of market and vehicle data to uncover critical correlations between vehicle characteristics, market trends, and pricing outcomes. Develop, validate, and implement machine learning models and algorithms in production, iterating swiftly based on real-world performance. Oversee feature engineering, model assessment, and experimentation design. Collaborate with Product, Engineering, Strategy & Ops, and Sales to prioritize high-impact opportunities. Contribute to other applied machine learning domains as necessary.

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.

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.

Braze seeks a Data Scientist specializing in AI Deployment for its Toronto office. This position involves applying advanced data analysis and machine learning techniques to enhance Braze’s products and services. What you will do Work closely with teams across the company to design and implement AI-driven solutions. Build and deploy strategies that use machine learning to improve product features and performance. Apply data analysis methods to identify opportunities for product and service enhancements. Collaboration This role relies on regular collaboration with colleagues from multiple departments to ensure AI initiatives align with business goals and customer needs.

The Trade Desk is a pioneering global technology company dedicated to fostering a more open and equitable internet for all through innovative advertising solutions. With the capability to process over 1 trillion queries daily, our platform operates at an unmatched scale. We pride ourselves on cultivating an award-winning culture founded on trust, ownership, empathy, and collaboration. At The Trade Desk, we appreciate the unique experiences and perspectives each individual brings, and we are committed to creating inclusive environments where everyone can express their true selves at work.Are you driven by the challenge of solving complex problems on a large scale? Do you want to be part of a vibrant, globally-connected team where your contributions have a significant impact on refining the media ecosystem? Join us and discover why Fortune magazine consistently names The Trade Desk among the top small to medium-sized workplaces worldwide.ABOUT THE ROLEAs a Data Scientist at The Trade Desk, you will collaborate closely with engineering teams throughout the entire product lifecycle, from conception through to production and monitoring. Our data scientists take full ownership, actively engaging in the design, research, development, and delivery of data-centric products that serve our clients and traders.This role focuses on applying cutting-edge modeling techniques to tackle measurement challenges within the Advertising Technology sector. You will gather and analyze data, investigate methodologies, design experiments to validate model outcomes, and implement research findings into production. While you will work across various measurement methods in AdTech, your primary focus will be on advancing both internal and external clients towards more sophisticated measurement solutions that demonstrate the causal impact of ads served through the TTD platform. Your efforts will contribute to enhancing the accessibility and effectiveness of causal lift on our platform.The key responsibilities include:- Evaluate, explore, and deploy models to address the question: 'Are TTD ads driving incremental lift?'- Define and develop methodologies to optimize for causal effects.- Investigate data from multiple sources within TTD and create ETL pipelines for model training.- Design and analyze experiments (e.g., A/B testing) to validate model results.- Collaborate with cross-functional stakeholders to devise the best implementation and testing strategies.

At Rockstar, we are on a mission to transform the job market by empowering individuals with the tools they need to overcome economic inequality. Our innovative AI-driven platform provides access to better jobs quickly and affordably, particularly for those facing obstacles in their career paths. Join a vibrant team dedicated to making a significant impact on workforce development and human potential.Join our Data team!We thrive in a high-velocity environment characterized by intensity, trust, and ambition. If you resonate with our values of humility, audacity, and a commitment to meaningful change, this opportunity may be the perfect fit for you.Our core mission is to facilitate faster and more accessible pathways to quality employment, particularly for those who encounter barriers to opportunities. By leveraging our AI platform, we aim to address the pressing issue of economic inequality, ensuring that no one is left behind in the evolving workforce landscape.Are you ready to make a difference? Apply today!Note: Research indicates that men often apply when they meet just 3 out of 10 qualifications, while women typically wait until they meet all 10. We encourage you to apply if you find a strong alignment with our requirements.Your RoleWe are looking for a skilled Data Scientist to join our team. Are you passionate about working with machine learning pipelines and big data from the get-go? Do you possess hands-on experience with cutting-edge Natural Language Processing (NLP) techniques (e.g., transformers, BERT, few-shot learning, fine-tuning) and information retrieval methods (e.g., vector-based semantic search, reranking, hybrid search)? If you are eager to push the boundaries of advanced ML and NLP in a mission-driven startup environment, this could be your dream job!What You’ll Own- Recommender Systems: Develop high-quality recommendation systems for job seekers and employers, serving as a career GPS and talent radar.- Taxonomies: Utilize data and AI to model and interpret the dynamic landscape of skills and job roles in a changing labor market.- Agentic AI Solutions: Prototype and assess new AI-powered features for job seekers, employers, and case workers.- Data Science Strategy: Act as a strategic advisor, guiding decisions on the roadmap and ensuring the adoption of state-of-the-art techniques.- Mentorship/Leadership: Provide mentorship and serve as a technical leader, ensuring the quality and speed of projects.

About UsAt Momentum Financial Services Group, we are dedicated to empowering individuals by transforming financial solutions for those who need it the most. With over 40 years of experience, we are proud to be the team behind Money Mart—Canada's largest non-bank branch network and a frontrunner in providing financial solutions to underserved communities.Our offerings, from short-term loans to money transfers and prepaid cards, enable us to connect over a million customers each year with the funds they need, precisely when they need it.At MFSG, we unite across various teams and departments to create impactful solutions that eliminate barriers, granting access to financial resources that might otherwise remain out of reach. Whether you're addressing challenges, developing systems, or influencing strategy, your contributions make a meaningful difference in the lives of real people.

The Growth Tech Alliance at HelloFresh is dedicated to transforming our marketing strategies by harnessing the power of AI-driven automation, intelligent systems, and advanced optimization techniques. We have developed innovative methodologies for programmatic campaign optimization utilizing cutting-edge AI/ML technologies, and we are now expanding these capabilities across our global marketing operations. Our team is responsible for designing, developing, and maintaining autonomous decision-making systems, sophisticated ML models for marketing optimization, and real-time intelligence that generates significant business outcomes. We operate at the intersection of modern AI architectures, deep statistical modeling, and enterprise-scale ML operations. About the Team As a Senior Data Scientist in our AdTech division, you will play a pivotal role in designing, building, and deploying high-quality machine learning models aimed at maximizing marketing ROI. Your expertise will be essential in enhancing our intelligent marketing optimization systems, overseeing the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating intricate marketing challenges into robust production systems, you will ensure our AI capabilities yield measurable business impact and improved efficiency on a global scale. Key Responsibilities Develop, build, and refine advanced machine learning models across primary adtech domains to optimize marketing performance and facilitate efficient marketing workflows. Design and implement ML models for Media Optimization, contributing to their integration into high-impact production environments. Enhance Creative Automation initiatives by developing predictive AI models that assist our global production studios. Create and implement ML models for Value Optimization to intelligently identify high-value customers. Contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production. Rapidly prototype innovative machine learning solutions, including Gen AI-forward methodologies, and integrate them within our orchestrated multi-agent systems to enable complex autonomous workflows. Work collaboratively with Product, Engineering, and Marketing teams to identify high-impact programmatic automation opportunities and execute rigorous A/B testing and experimentation designs in challenging environments. Perform other duties as assigned.

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.

Join Spotify's innovative Platform Mission as a Data Scientist, where you'll leverage data-driven insights to enhance our platform's capabilities. Collaborate with cross-functional teams to design and implement models that drive strategic decision-making and improve user experience.