Data Scientist at WMG | Ontario

Join WMG as a Data Scientist and play a pivotal role in leveraging data to drive decision-making and innovation. You will be responsible for analyzing complex datasets, developing predictive models, and delivering actionable insights that will shape our strategic initiatives.

Who we are:Geotab Inc. is a premier global leader in the Internet of Things (IoT) and connected transportation, recognized as a certified “Great Place to Work™.” Our diverse and talented team collaborates to empower businesses to grow, while enhancing the safety and sustainability of our communities.At Geotab, we are revolutionizing fleet management by integrating commercial vehicles with web-based analytics, enabling our customers to optimize their operations. Our open platform and Geotab Marketplace® give businesses of all sizes the flexibility to automate and enhance their fleet management through rich data insights. With billions of data points processed daily, we harness the power of data analytics and machine learning to boost productivity, reduce fuel consumption, improve driver safety, and ensure strong compliance with regulatory mandates.As our team expands, we are in search of passionate individuals who think innovatively and aspire to make a significant impact. Our fast-paced, dynamic environment is one where challenges are embraced, and team members are encouraged to take on new responsibilities that may extend beyond their original job descriptions. Join us for a rewarding career filled with opportunities to innovate, comprehensive benefits, and an engaging, inclusive workplace culture. Unleash your full potential with Geotab. To learn more about life at Geotab, visit our blog and follow us @InsideGeotab on Instagram. Join our talent network to stay updated on job opportunities!

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 Warner Music Group, a leading global music company that unites passionate music makers and technology innovators. At WMG, we transform dreams into stardom and audiences into dedicated fans. Our operations are grounded in three core values that drive our success across various sectors: • Curiosity: We thrive on creativity and innovation, which are fueled by our desire to explore and break boundaries.• Collaboration: Our mission is enhanced by teamwork, as we amplify originality through collective efforts. Great ideas resonate globally, bridging connections with artists, songwriters, and fans.• Commitment: We are dedicated to excellence in our endeavors and for our talent. We embrace the unknown with integrity and perseverance.Technology is pivotal to our operations, from onboarding new artists to providing critical data to digital platforms like Spotify and YouTube. Our engineering team is crucial to realizing these objectives.At WMG, we celebrate diversity and strive to create an inclusive environment that values every individual. We encourage applications from a broad spectrum of backgrounds and experiences.Explore a career at WMG for the best of both worlds: an innovative global music company that retains the agile spirit of an independent venture.About Our Team:This role is part of the Sodatone team, which develops an analytics platform leveraging AI and machine learning to discover and evaluate emerging musical talent. By analyzing data from streaming platforms and social media, we empower our A&R teams to identify promising artists, monitor trends, and make informed talent scouting decisions.

Join Warner Music Group, a dynamic global hub for music creators and enthusiasts, where we transform aspirations into reality and cultivate dedicated audiences. Our organization thrives on three fundamental principles that guide us in all our varied ventures:• Curiosity: Our creativity flourishes when we engage deeply with culture and challenge limits. Curiosity drives our innovation and shapes our future.• Collaboration: The essence of music making is teamwork; a brilliant idea, like a hit song, resonates globally. We foster connections among a diverse community of artists, songwriters, collaborators, and supporters.• Commitment: We strive for excellence for our team and our artists. The journey in music begins with a bold step into the unfamiliar, and we are dedicated to integrity, trust, and fulfilling our commitments.Technology is integral to our operations. From empowering our songwriters to ensuring accurate royalty data for global partners, to equipping our creative teams with cutting-edge AI tools for talent discovery—technology is pivotal to our achievements. As Product Managers, we transform visions into tangible outcomes.Warner Music Group is proud to support a diverse array of artists, musicians, and songwriters who drive our success. We are dedicated to fostering a work environment that values, respects, and appreciates all individuals. We warmly welcome applications from candidates with diverse backgrounds and experiences.Consider a career at WMG and experience the unique blend of an innovative global music company with the creative spirit of a nimble independent.

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.

Join Fullscript as a Lead Data Scientist and play a critical role in shaping our data strategy. In this position, you will leverage your expertise in data science to analyze complex datasets, develop predictive models, and provide actionable insights that drive business decisions. You will lead a team of data scientists, fostering a collaborative environment that encourages innovation and excellence.

Join Geotab as a Data Scientist, where you will leverage your expertise in data analytics, machine learning, and statistical modeling to drive impactful business decisions. In this dynamic role, you will collaborate with cross-functional teams to develop and implement data-driven solutions that enhance our product offerings and improve customer experiences.

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

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

About 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.

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.

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.

Role Overview Otilumionics is hiring a Research Scientist for its Mississauga, ON office. This position focuses on research and development projects that support the company's technology goals. What You Will Do Design and run experiments as part of ongoing research initiatives Analyze experimental data to draw meaningful conclusions Work with colleagues from different teams to share findings and develop new products About Otilumionics Otilumionics works to advance technology through research and product development. The team values curiosity, collaboration, and practical innovation.

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.

About Thumbtack Thumbtack helps millions of people across the U.S. manage and improve their homes with confidence. The platform connects homeowners to a growing network of 300,000 local service providers, supporting everything from urgent repairs to major renovations. Thumbtack offers personalized guidance, AI-powered tools, and a streamlined hiring process, making it easier for users to decide what projects to tackle, when, and with whom. The company is committed to building resources that empower homeowners and service professionals alike. Data Science at Thumbtack The Data Science team at Thumbtack plays a central role in shaping business decisions using data. Team members work closely with other departments to solve complex analytical problems, such as optimizing pricing across hundreds of service categories, measuring the impact of new business models, and identifying early signals of high-quality customers. The group values intellectual curiosity, collaboration, and continuous learning. Role Overview: Data Scientist II, Marketplace This remote position based in Ontario focuses on the supply side of Thumbtack’s Fulfillment pillar. The Data Scientist II will work to capture richer data from professionals and integrate it into matching, pricing, and demand fulfillment models. The goal is to increase the marketplace’s intelligence and value for all users. The work is often open-ended and involves launching new initiatives, defining success metrics, running experiments, and evaluating scalability. What You Will Do Propose and conduct quantitative research on user behaviors, product workflows, and business trends. Partner with cross-functional teams to identify new opportunities and actionable next steps for product development. Design and analyze experiments and tests to draw causal inferences, collaborating with engineers, applied scientists, and economists. Work with product managers and engineers to define new features, including modeling scenarios for potential impacts.

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.

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.