Data Scientist - AI Deployment at Braze | Toronto

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.

Join Braze as a Senior Forward-Deployed Data Scientist where you will leverage your expertise to drive data-driven decision-making across our integrated marketing platform. You will collaborate with cross-functional teams to deliver impactful insights and develop data models that enhance our customers' marketing strategies.Your role will involve deploying advanced analytical techniques, creating predictive models, and communicating findings to stakeholders. You will play a crucial part in shaping the future of customer engagement through data innovation.

About Mecka AIAt Mecka AI, we are pioneering the data infrastructure for robotics and embodied AI. Our innovative approach involves designing, deploying, and managing real-world robotic systems that generate high-quality datasets essential for training and evaluating the next generation of robotic models and embodied AI technologies. Our robots excel in unstructured, real-world environments, where reliability and execution are paramount compared to conventional simulations.The RoleWe seek a dedicated Roboticist who is passionate about execution and deployment. This is a hands-on role focused on practical applications rather than theoretical research. You will be responsible for deploying high-level models, perception pipelines, and navigation policies onto physical robots, effectively bridging the gap between simulation and reality. Your mission is to ensure that robots can autonomously navigate, manipulate, and gather data in real-world settings.Your work will involve debugging both in the lab and on-site, diagnosing failures, and creating systems that continue to function seamlessly even under challenging conditions.What You’ll Work OnSystem IntegrationIntegrate Vision-Language-Action (VLA) models, perception pipelines, and control policies into a cohesive robotic stack.Develop the necessary code to translate model inferences into physical motor actions.Ensure that models operate reliably and predictably on real hardware.Navigation & ControlImplement, tune, and maintain:SLAMLocalizationPath planningObstacle avoidanceGuarantee smooth and intelligent robotic motion in dynamic human environments.Field Reliability & AutonomyDevelop robust, self-healing systems.Create automated calibration routines, watchdogs, and error-handling logic.Empower robots to recover from typical failures without human assistance.Real-World Debugging & DeploymentConduct debugging in both lab and real-world deployment settings.Diagnose issues such as:Failed docking or navigationSensor drift or misalignment

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.

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.

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.

About MagicalAt Magical, we are at the forefront of innovation, harnessing the power of our agentic AI platform to revolutionize the workplace. Our mission is to seamlessly integrate 'AI employees' into daily operations, alleviating the burden of repetitive and mundane tasks. This shift allows organizations to operate more efficiently, enhancing focus and improving critical outcomes, such as patient care.As pioneers in this transformative movement, we invite you to join our dynamic team. As a founding member, you will play a pivotal role in defining the future of work, collaborating with a dedicated group that is pushing the boundaries of what AI can achieve.With esteemed investors backing us, including the minds behind OpenAI and Notion, our aspirations are ambitious, and the market potential is vast.The RoleAs a Deployment Strategist, you will take charge of ensuring the success of our most significant and strategic clients after the sale. You will connect customer business objectives with Magical’s agentic AI solutions, working closely with Deployment Engineers to implement impactful strategies and drive growth.Your responsibilities will include:Leading comprehensive implementations for a curated portfolio of customers, overseeing projects from initial planning through to successful go-live and scaling.Serving as the engagement manager: coordinating project timelines, aligning stakeholders, managing risks and dependencies, and ensuring the seamless flow of work across all parties involved.Translating business objectives into actionable deployment plans, defining use cases, success metrics, milestones, and execution roadmaps in partnership with our Deployment Engineers.Conducting regular customer touchpoints (weekly/bi-weekly standups, stakeholder meetings, executive updates) to maintain project momentum and address decisions proactively.Executing structured business reviews (QBRs/MBRs) that effectively communicate ROI, demonstrate operational impact, and facilitate natural expansion pathways.Acting as a trusted advisor on workflow redesign and change management, particularly in healthcare revenue cycles and operations-heavy settings.Collaborating with the go-to-market team to identify new workflows, sites, and departments for automation; shaping well-structured proposals and rollout plans to ensure frictionless expansion.Advocating for the voice of the customer within the organization, providing structured insights to Product, Engineering, and Sales teams to influence future roadmaps and playbooks.

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.

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.

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.

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 Innovative Data Team!Fast-paced, impactful, and driven by trust.If these resonate with you, your next career opportunity awaits. We are looking for a leader who embraces humility, sets ambitious goals, and desires to create meaningful change in the world.At FutureFit AI, we are dedicated to accelerating access to better job opportunities, particularly for individuals facing barriers. Our mission addresses the escalating challenges of economic inequality, ensuring that everyone can thrive in the evolving job landscape. Our cutting-edge AI platform optimizes workforce development, superseding outdated systems and unlocking human potential on a grand scale.Ready to contribute to a meaningful mission? Apply now!Note: Data suggests that men typically apply when meeting 3/10 qualifications, while women often wait until meeting 10/10. We encourage all applicants to apply if they feel a strong fit.Your ResponsibilitiesWe are looking for a passionate Data Scientist to join our dynamic team. Are you eager to engage with machine learning pipelines and large datasets from the outset? Do you have extensive experience with advanced NLP technologies (e.g., transformers, BERT, few-shot learning, fine-tuning) and information retrieval methods (e.g., vector-based semantic search, reranking, hybrid search)? Are you interested in pushing the boundaries of ML and NLP at a mission-driven startup where passion drives our work? If this describes you, this could be the perfect opportunity!Your ContributionsRecommender Systems: Develop our product to deliver high-quality recommendations to job seekers (serving as a career GPS) and employers (functioning as a talent radar).Taxonomies: Leverage data and AI to track and interpret the evolving landscape of skills, occupations, and careers in a dynamic labor market.Agentic AI Solutions: Design and assess new AI-driven features for job seekers, employers, and case workers.Data Science Strategy: Act as a strategic advisor and expert on roadmap decisions, appraising significant advancements in the field, and ensuring the application of state-of-the-art techniques.Mentorship/Leadership: Mentor junior team members, fostering a culture of learning and collaboration.

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.

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.