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 Our cutting-edge AI platform optimizes workforce development, superseding outdated systems and unlocking human potential on a grand scale.Ready to contribute to a meaningful mission?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.

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

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.

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.

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.

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.

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.

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 the Role HelloFresh is looking for a Senior Data Scientist focused on menu personalization to join the team in Toronto, Ontario, Canada. This role centers on building and refining recommendation systems that help customers discover the most relevant and appealing menu options across HelloFresh’s global markets. What You’ll Do Design, implement, and improve algorithms for personalized menu recommendations. Work closely with other Data Scientists and collaborate with Data, Backend, and Machine Learning Engineers to turn statistical methods and ML models into real product features. Shape the customer experience by ensuring menu selections are tailored and engaging, directly impacting business growth. Propose multiple approaches to problems, drawing on past experience, and prioritize solutions by effort and potential impact. Balance independent work with team support, contributing as a senior member and offering guidance when needed. What Will Help You Succeed Curiosity and comfort with ambiguity. Ability to quickly learn and adapt to new challenges. Strong focus on identifying and prioritizing the right problems to solve. Experience customizing solutions for different business needs.

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.

Location: Remote , Toronto, Ontario, Canada About Tiger Analytics Tiger Analytics develops custom data and technology solutions for organizations worldwide, including many Fortune 100 companies. The company operates from offices in the US, UK, India, and Singapore, and maintains a significant remote team. Tiger Analytics focuses on AI and advanced analytics, with a collaborative and inclusive culture. Focus on CPG and Retail More than 40% of Tiger Analytics’ revenue comes from the Consumer Packaged Goods (CPG) and retail sectors. The company continues to invest in talent and expertise to support rapid growth in these industries. Role Overview: Senior Data Scientist – Pricing Optimization This position leads the Pricing and Promotion Optimization team. The Senior Data Scientist will shape and implement strategies to improve pricing and promotional outcomes for clients. The role requires experience in product management, analytics-driven decision-making, and cross-functional leadership, along with a strong background in roadmap planning. Key Responsibilities Lead the Pricing and Promotion Optimization team for CPG and retail projects Develop and execute product strategies that improve pricing and promotional effectiveness Apply analytics to drive decision-making and business outcomes Plan and manage product roadmaps Collaborate with cross-functional teams to deliver solutions What Tiger Analytics Looks For Extensive experience in product management, especially with analytics-driven approaches Proven ability to lead teams and manage complex projects Strong background in pricing, promotion, or related optimization work

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 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.

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 Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

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.

About the Role Okta is building trusted identity infrastructure for the era of AI. As Senior Product Manager for AI Agents, based in Toronto, this role focuses on shaping how organizations manage identity, permissions, and auditability for AI-driven agents and workflows. What You Will Do Drive the vision and development of "Okta for AI Agents," a new product area at the intersection of Identity, Security, and Artificial Intelligence. Define authentication, authorization, and governance models for AI agents acting on behalf of people and organizations. Work with advanced technologies, including Agent-to-Agent connectivity, MCP servers, and autonomous agents. Collaborate across engineering, design, and go-to-market teams to deliver secure, scalable solutions for automated workflows. Contribute to a product that addresses real-world challenges in AI security and identity management. Who We’re Looking For Experience leading product initiatives in fast-moving environments. Strong interest in the convergence of identity, security, and artificial intelligence. Ability to solve complex problems with practical solutions. Comfort working hands-on and influencing cross-functional teams. Motivation to deliver high-quality results with real-world impact. Location This position is based in Toronto, Ontario, Canada.

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 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.