Staff Data Scientist at Clutch | Toronto

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 …

Join our dynamic team at Cygnus Professionals Inc. as a Data Scientist and Analytics Developer! In this pivotal role, you will leverage your analytical skills to transform data into actionable insights and drive business strategies. You will collaborate with cross-functional teams to develop innovative analytics solutions that meet our clients' needs.

Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.

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

About Us:Geotab Inc. is a leading global provider of IoT and connected transportation solutions, recognized as a "Great Place to Work™." We pride ourselves on our diverse and talented team that collaborates to drive business growth and enhance community safety and sustainability. At Geotab, we are revolutionizing vehicle management by connecting commercial fleets to the internet and delivering web-based analytics for improved operational efficiency. Our open platform and Geotab Marketplace® empower businesses of all sizes to integrate vehicle data with their other data assets, processing billions of data points daily. Through data analytics and machine learning, we enhance productivity, optimize fleets, reduce fuel consumption, bolster driver safety, and ensure compliance with regulatory standards. Our dynamic team is expanding, and we are seeking passionate individuals who think outside the box and strive to make a positive impact. At Geotab, we thrive in a fast-paced and evolving environment, embracing new challenges and responsibilities beyond the initial job scope. Join us for a rewarding career filled with innovation opportunities, competitive benefits, and a vibrant, inclusive company culture. Discover what it's like to be a Geotabber by visiting our blog and follow us on Instagram. Join our talent network to stay updated on exciting job opportunities.

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.

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.

Join Warner Music Group, a vibrant global community of music creators, innovators, and passionate professionals. Here, we transform dreams into reality and cultivate fandoms that resonate worldwide. Our operations are anchored by three fundamental values that guide our diverse endeavors: • Curiosity: Our creativity flourishes when we explore culture and push boundaries. Curiosity fuels our innovation, which is essential for our future success.• Collaboration: The essence of music-making lies in originality enhanced by teamwork. Great ideas resonate globally, and we ignite passion and forge connections within our diverse network of artists, songwriters, partners, and fans.• Commitment: We strive for excellence for our team and our talent. Every aspect of music involves venturing into the unknown, and we are dedicated to maintaining integrity and fulfilling our promises.Technology is integral to our business. From onboarding new artists to delivering precise data to platforms like Spotify and YouTube, or empowering artists with cutting-edge AI tools and insightful data, technology is the backbone of our success. Our engineering team at Warner Music Group brings these visions to life.We proudly represent a diverse array of artists, musicians, and songwriters who contribute to our achievements. We are committed to fostering a work environment that values, appreciates, and respects every individual, encouraging applications from candidates with a variety of backgrounds and experiences.Consider a career at WMG, where you can enjoy the dynamism of a global music powerhouse while embodying the creative spirit of an independent entity.Your Role:We are developing the next-generation Data Platform, designed to set benchmarks in freshness, accuracy, comprehensiveness, and usability, to empower Warner Music Group’s operations. We are reengineering this platform from the ground up, encompassing:

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.

Who We AreAbout StripeStripe is a cutting-edge financial infrastructure platform that empowers businesses of all sizes, from the largest global enterprises to the most innovative startups. Millions of companies utilize Stripe to seamlessly accept payments, enhance their revenue streams, and unlock new business opportunities. Our mission is to enhance the GDP of the internet, presenting you with a remarkable chance to make a significant impact on the global economy while pursuing some of the most meaningful work of your career.About the TeamThe Data Science team at Stripe works collaboratively across various departments to ensure that our users, products, and business strategies are backed by robust models, insightful data products, and actionable insights. We are searching for passionate data scientists who thrive on analyzing data, developing machine learning and statistical models, and conducting experiments that lead to impactful results. Our extensive work spans various domains, from enhancing product functionality (such as understanding user behavior, preventing fraud, and optimizing payment processes) to improving business operations (like forecasting key metrics, managing liquidity, and assessing risk exposure), and refining go-to-market strategies (including designing growth experiments and optimizing marketing efforts). We offer diverse Data Science roles and will align you with the team that best fits your expertise.

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.

Greetings, Future Homie!Join us at Homebase, where we are passionate about empowering small businesses to flourish. Our dynamic team is driven by empathy, urgency, and a bold approach that leads to meaningful outcomes. At Homebase, every team member contributes to elevating our standards, supporting each other, and celebrating our collective successes.We are not merely developing an application; we are fostering unstoppable teams. Are you ready to join us?Your Impact Begins HereAs a Platform Engineer, you will play a key role in designing and implementing components for our data and ML platforms. Your contributions will empower data engineering, data science, and product teams to create features driven by data and machine learning, ensuring that our systems are scalable, reliable, and seamlessly integrated.Architect, develop, and enhance the ingestion processes for large volumes of both structured and unstructured data from a variety of sources.Facilitate data architecture transformation initiatives on Databricks, promoting scalable and efficient systems.Lead the design and implementation of platform components for training, deploying, and monitoring machine learning models in production environments.Provide insights into industry best practices, tools, and technologies in the field of machine learning engineering.Champion continuous enhancements of data and ML workflows through automation and innovative solutions.Own projects end-to-end, ensuring successful delivery from planning to execution.Collaborate with cross-functional teams to gather business requirements and develop effective technical solutions. Key to Your Success - These experiences and strengths will position you for success:Over 5 years of experience in software development, with a focus on data and machine learning.Proficient in SQL, Python, and Databricks.Experience with Airflow, Kafka, and Redshift.Strong skills in data modeling and database design.Expertise in building and deploying machine learning models, including language models.Experience in creating model serving pipelines for batch, streaming, and real-time inference.Demonstrated ability to work collaboratively in a fast-paced environment.

About FaireFaire is a revolutionary online wholesale marketplace founded on the principle that the future belongs to local. Independent retailers across the globe generate more revenue than giants like Walmart and Amazon combined. However, they often struggle against these massive entities. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Think of your favorite local boutique; we empower them to discover exceptional products from around the globe to showcase in their stores. With the right insights and tools, we aim to level the playing field, enabling small businesses to compete effectively with larger e-commerce platforms.By fostering the growth of independent businesses, Faire is creating a positive economic ripple effect in local communities globally. We are in search of intelligent, resourceful, and passionate individuals to join us and champion the shop local movement. If you resonate with our commitment to community, we invite you to be part of ours.About this RoleAt Faire, we utilize cutting-edge machine learning and data insights to transform the wholesale sector, empowering local retailers to take on competitors like Amazon and big box stores. Our Data Science team is pivotal in designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are focused on developing machine learning models that enable our customers to thrive.As a vital member of the Brand Data Science team dedicated to Listing Quality, your primary responsibility will be to enhance the quality of product listings, ensuring retailers can efficiently find and evaluate products on Faire. You will employ ML and AI to address significant challenges, including improving image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. Utilizing deep learning, multi-modal LLMs, and human-in-the-loop training, you will create high-performance solutions. This is a rapidly evolving space, and you will be at the forefront of applying the latest technology to drive meaningful real-world impact. You will independently design and implement solutions while collaborating with the cross-functional Listing Quality pod, which includes product, design, engineering, analytics, and operations teams, to resolve challenges comprehensively.

Welcome to OktaAt Okta, we are redefining identity management. We empower individuals to securely access any technology, from any device or application, fostering a transformative approach to business security and growth. Our innovative solutions, including the Okta Platform and Auth0 Platform, prioritize identity at the heart of operational success.We value diverse perspectives and experiences, seeking lifelong learners who contribute to our dynamic culture.Join us as we shape a future where identity is truly in your hands.Are you driven to tackle complex data challenges and make a significant impact? Do you want to collaborate with a passionate team of cloud engineers and architects? If yes, we want to hear from you!The Auth0 platform manages over 100 million logins daily for clients worldwide and is rapidly expanding. As part of the Data Platform team, you will be instrumental in developing and managing essential data services that enable scalability, reliability, efficiency, and operational excellence. In your role as Senior Manager, you will collaborate with engineers across departments, guide the platform roadmap, and establish the foundational infrastructure for Auth0's future growth.As a leader, your passion for developing high-performing teams and your ability to coordinate across organizations will make you an ideal fit for this position!Your Responsibilities Include:Leading a diverse, agile software development team focused on delivering value with expertise in distributed systems, cloud infrastructure, and site reliability engineering.Fostering a culture of discovery, learning, and experimentation within a geographically distributed team through continuous coaching and mentoring.Collaborating closely with architects and engineers to design scalable, robust, and extensible services using modern technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Building and managing data streaming teams utilizing event-driven architecture and Kafka.Partnering with product management and engineering leadership to define a platform roadmap that supports the next generation of identity products, overseeing planning, execution, and delivery of data platform services.Implementing process improvements to drive operational excellence and efficiency during a period of significant growth.

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.

About the RoleOpendoor is in search of a talented Applied Scientist to tackle some of the most challenging quantitative issues we face. This position will primarily delve into structural modeling, econometrics, optimization, and making informed decisions amidst uncertainty. Your work will cover a variety of applications, including pricing strategies, resale approaches, demand forecasting, and risk management. This role is crucial to our valuation and pricing ecosystem, and we seek an individual who can fuse strong modeling intuition with hands-on execution and excellent engineering skills to devise practical solutions in a low-margin, high-stakes environment where minor enhancements can yield significant impacts. You will engage in tasks such as modeling post-listing demand, estimating price elasticity, designing experiments, constructing structural models, and developing optimizers to facilitate better decision-making across our products and inventory. As part of a small, agile team, you will have the opportunity to influence both the modeling strategies and the practical applications of these systems in our production decision-making processes.

Join Spotify as a Data Engineer on our Platform team and be a part of our mission to unlock the power of music for millions of users around the globe. In this role, you will design, build, and maintain cutting-edge data infrastructure and pipelines that enable our teams to make data-driven decisions. Your innovative mindset and technical expertise will play a crucial role in enhancing our data processing capabilities.

Fivetran builds technology that helps organizations turn customer data into actionable insights without heavy engineering or ongoing maintenance. The ETL Platform team plays a key role in supporting the core infrastructure behind Fivetran’s sync engine, making sure data flows smoothly and reliably for customers. Role overview The Senior Software Engineer will join the ETL Platform group, focusing on projects that improve how Fivetran captures, stores, and processes large datasets. Recent work includes a Sync Tracking overhaul, which gives customers better visibility into their data movement and helps maintain accuracy and reliability. What you will do Contribute to the foundational systems that power Fivetran’s sync engine Work on initiatives that enhance the tracking and processing of high-volume data Help manage a scalable fleet of machines that adapts to changing customer needs Support the team’s role as essential infrastructure within the company Work arrangement This is a full-time, hybrid position based in Toronto, Ontario. The schedule blends remote work with in-person collaboration, with two days per week in the office for team activities.

At RAVL, we empower technologists to elevate their careers through innovative solutions.We blend strategic insight with execution, deeply valuing our partnerships and measuring success by the meaningful impact we create. Our mission is to cultivate a team dedicated to achieving sustainable business outcomes in every endeavor.We aim to enhance our clients' experiences and foster a workplace where our employees are enthusiastic about Building. Better.As the Principal Data Engineering Leader at RAVL, you will architect and enhance enterprise-level data and AI platforms, ensuring they are secure, scalable, and high-performing. In your role as a Community of Practice (COP) Leader within the BuildIQ organization, you will develop cross-functional data and AI capabilities that elevate all Organizations of Engagement (OOEs). This includes providing expert architectural guidance, establishing platform standards, and creating reusable accelerators across teams.You will excel in ambiguous environments, embracing a results-driven mindset to deliver visible and significant progress. Success at RAVL involves a combination of profound technical expertise in raw data engineering, data platform architecture, and applied AI systems, coupled with creativity, an open mindset, and the ability to influence as a trusted advisor in complex client settings. This role carries the responsibility not only for project delivery but also for elevating the performance standards of the entire data discipline.

About UsAir-tek is an innovative Canadian software company recognized for its unique suite of products that have secured a significant presence in the global market. Our product-market fit is exceptional, and we are experiencing a surge in customer demand. During this phase of rapid growth, we maintain a discreet operational presence.Our diverse team is united by a shared passion for tackling complex challenges, a commitment to innovation, and an ambition to redefine the passenger-centric travel industry. Located in Toronto, we foster an inclusive culture based on trust, collaboration, excellence in product delivery, and continuous personal development. We take pride in our work and support each other as a team.About the TeamThe Platform Engineering team consists of highly collaborative software engineers dedicated to building, scaling, and maintaining the foundational infrastructure that empowers other teams to develop Air-tek’s software solutions. We focus on creating secure, scalable, and efficient infrastructure, employing modern development practices. Our impact is felt across the company as we work closely with operations, support, product management, and other engineering teams to meet Air-tek’s objectives.As a Senior Platform Engineer, you will play a pivotal role in designing, developing, and operating our core platform services, enabling us to deliver robust and reliable infrastructure solutions that support the expanding needs of our products.