Data Scientist at ampleinsightinc | Toronto

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.

Join our dynamic team as a Business Development Representative specializing in AI, where your entrepreneurial spirit will help us expand new business channels. In this role, you will:Pipeline Development: Strategically create and implement outbound sequences aimed at engaging senior decision-makers.Qualification: Conduct discovery calls to effectively identify genuine opportunities amidst market noise.Strategy: Collaborate with our founders to enhance our Ideal Customer Profile (ICP) and messaging based on actionable insights.Stack Optimization: Utilize cutting-edge tools (Clay, Sales Navigator, etc.) to streamline the prospecting process, allowing you to concentrate on strategic initiatives.

We are seeking innovative and driven Data Scientists with a strong passion for tackling real-world challenges. You will thrive in environments that require working with both structured and unstructured data and will be motivated to develop and deploy scalable machine learning models. This role demands exceptional critical thinking and problem-solving abilities.

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.

ampleinsightinc is seeking enthusiastic Data Scientists with a strong passion for Data Analytics and Infrastructure. Ideal candidates will have a solid foundation in data engineering, analytics, and statistics. You will thrive on working with large and intricate datasets, designing and implementing efficient data pipelines that support scalable and reliable analytics.In this role, you will be tasked with the design and maintenance of our data infrastructure, automation of workflows, and ensuring data accessibility across various teams. Your contributions will have a direct influence on business decisions by providing high-quality insights and creating robust analytics systems. Strong problem-solving, communication, and teamwork skills are essential to succeed in this position.

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.

We are seeking a talented and enthusiastic Data Engineer who thrives on the challenge of transforming raw data into actionable insights. If you are passionate about analytics and eager to contribute to the development and scaling of data capabilities within organizations, this role is for you. You will work closely with fellow data scientists to create robust data tools and pipelines that enhance data accessibility and usability. Your expertise in designing ETL workflows and data schemas will be crucial, and your critical thinking and problem-solving abilities will help drive our projects forward.

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.

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.

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.

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.

Staff Data Scientist - Global AdTech, AI-Driven Media Optimization The Growth Tech Alliance at HelloFresh is dedicated to revolutionizing marketing strategies through advanced AI-powered automation and intelligent systems. Our pioneering work in programmatic campaign optimization utilizes cutting-edge AI/ML technologies, now being integrated across our global marketing initiatives. Key responsibilities include designing, developing, and maintaining autonomous decision-making systems and sophisticated ML models, with a focus on maximizing business impact through real-time intelligence. Our work intersects modern AI frameworks, deep statistical modeling, and extensive ML operations. Your Role... As a Staff Data Scientist, you will elevate our AI capabilities by leading the advancement and scaling of intelligent media optimization systems. Your technical leadership will guide the architecture of complex multi-agent systems and ensure the development of robust ML models to tackle challenging optimization tasks. You will be instrumental in transforming prototypes into production-ready systems, establishing best practices for ML operations, and enhancing system observability. This position offers a unique opportunity to influence how HelloFresh employs AI for marketing at an unmatched scale. What You Will Do... Enhance our AI-driven optimization capabilities by designing and implementing production-grade multi-agent systems that autonomously manage intricate marketing workflows. Refine our ML models for marketing optimization, addressing challenges such as budget allocation, efficiency modeling, and performance forecasting, ensuring they support multi-million dollar decisions. Implement thorough ML operations practices, including experiment tracking, model versioning, and system observability, to facilitate ongoing improvement and reliable performance at scale. Lead innovation by rapidly prototyping machine learning solutions across various domains including customer value prediction, dynamic pricing optimization, and generative AI applications. Establish and promote best practices for AI system development, encompassing agent design patterns, governance strategies, and quality assurance frameworks. Drive the technical roadmap to evolve our AI capabilities from successful prototypes to enterprise-level production systems with appropriate governance and monitoring.