Staff Data Scientist at Asana | Vancouver, BC

Asana seeks a Staff Data Scientist in Vancouver, BC. This role centers on advanced analytics and machine learning to help guide decisions across the company. Role overview Work will span both product development and operational improvements. The goal is to generate insights that help shape Asana’s products and make them more effective for users. What you will do Apply machine learning and analytics to company data Support teams with insights that influence product direction Contribute to operational improvements using data-driven findings Location This position is based in Asana’s Vancouver, BC office.

Role overview Jobgether seeks a Staff Data Scientist in Canada to drive data analysis and modeling efforts that inform strategic decisions across the organization. This role centers on developing insights and solutions that help shape both products and services. Collaboration The Staff Data Scientist partners with teams from multiple departments. Close collaboration ensures that data-driven approaches are integrated into projects and initiatives throughout Jobgether. Key focus areas Analyze data to support company-wide strategies Build and apply models to real business challenges Contribute to the improvement of Jobgether’s offerings through evidence-based recommendations

Join reddit as a Staff Data Scientist specializing in our advertising solutions. In this pivotal role, you will leverage advanced analytical skills and data science techniques to drive impactful decisions and optimize the performance of our ad products. Collaborate with cross-functional teams to analyze user behavior and uncover insights that enhance advertising effectiveness.

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.

YOUR PROFILEWe are in search of a data-savvy innovator who excels at the crossroads of engineering and analytics. You possess a strong sense of ownership and thrive in dynamic environments, adeptly balancing speed with accuracy. As a team player and mentor, you elevate team standards and foster discipline while translating intricate technical ideas into tangible business outcomes. Your enthusiasm for developing scalable solutions is matched by your exceptional communication skills, enabling you to effectively connect with both engineering teams and business stakeholders.ABOUT XSOLLAXsolla is a leading global commerce platform dedicated to empowering video game developers with innovative tools and services to navigate the unique challenges of the gaming industry. Whether partnering with indie developers or AAA studios, Xsolla supports companies in funding, distributing, marketing, and monetizing their games. Driven by a passion for the future of gaming, Xsolla is committed to uniting opportunities and consistently expanding resources for creators. Headquartered in Los Angeles, California, Xsolla serves as a merchant of record for over 1,500 game developers worldwide, providing diverse pathways to profitability and helping them reach new audiences. Experience all the possibilities to enjoy the game with Xsolla.For more insights, visit xsolla.com.

Join Thumbtack: Empowering Homeowners NationwideAt Thumbtack, we are dedicated to helping millions of individuals confidently manage and enhance their homes. Our innovative app serves as a one-stop solution, offering personalized guidance, AI-driven tools, and an unparalleled hiring experience. Daily, homeowners across the U.S. rely on Thumbtack for urgent repairs, seasonal maintenance, and significant upgrades. We empower them to determine the right projects, timing, and local service providers from our growing network of 300,000 businesses. If you're inspired by making a meaningful impact, we invite you to be part of our journey. Imagine the possibilities we can create together.About the Data Science TeamThe Data Science team at Thumbtack plays a pivotal role in informing business strategies through data-driven insights. Collaborating with various departments, we tackle complex analytical challenges—from optimizing pricing strategies across nearly a thousand service categories to assessing the impact of new business models and identifying key indicators of high-quality customers. Our team is tightly knit, intellectually curious, and committed to mutual growth and improvement.About the RoleAs a Senior Staff Marketing Data Scientist, you will be among the most senior members of our team, setting the standard for technical innovation and strategic influence. Your primary goal will be to enhance our channel measurement capabilities and to develop scalable methodologies, frameworks, and tools that enable the Marketing and Data Science teams to operate with agility, rigor, and assurance.Key ResponsibilitiesLead the advancement of measurement methodologies that redefine marketing effectiveness evaluation, utilizing innovative data science techniques.Facilitate the development of frameworks, tools, and processes that standardize and scale measurement across diverse channels.Refine and enhance existing modeling methodologies to deliver actionable and robust insights.

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.

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.

Northbeam builds a marketing intelligence platform that helps eCommerce brands see all their business data in one place. The platform uses advanced attribution modeling and customizable dashboards, allowing customers to track advertising spend, understand the customer journey, and support profitable growth. Northbeam has offices in San Francisco and Los Angeles, but supports remote work and is growing quickly. What the Data Science team does The Data Science team powers Northbeam’s intelligence. This group develops the science behind marketing measurement and optimization, including: Media Mix Modeling (MMM) Incrementality testing Multi-touch attribution (MTA) Calibration and validation frameworks Large-scale experimentation systems The team also creates AI-driven insights, recommendations, and scientific systems that are reusable, scalable, and rigorously validated. These efforts enhance Northbeam’s products and improve the customer experience. Role overview This Staff Data Scientist position focuses on strengthening the statistical and experimental foundations of Northbeam’s marketing intelligence products. The work covers MMM, Incrementality, Insights, and Recommendation engines. This is a full-stack data scientist role: researching and designing advanced statistical and causal inference methods, executing, deploying, and maintaining production systems. The position bridges research, development, and product. Responsibilities range from data exploration and experimental design to model validation, integration into production, and ongoing refinement in live systems. Deep expertise in statistical modeling and a strong understanding of underlying assumptions are required. The role involves selecting, stress-testing, and adapting models to fit the realities of marketing data, which often lack ideal conditions. This is a hands-on role with significant autonomy. Flexibility is important, as the work shifts between technical projects, cross-team collaboration, and customer-facing problem-solving as business needs evolve. Your impact Lead the development and deployment of advanced statistical models Collaborate with cross-functional teams to improve marketing intelligence products Apply data insights to inform strategic decisions Location This is a remote position based in Canada.

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 us in shaping a brighter financial future for all Canadians!At Neo, we are dedicated to revolutionizing the financial landscape for Canadians. Working within a rapidly growing tech startup environment can be exhilarating and challenging. Since our inception in 2019, Neo has been recognized as one of Canada’s fastest-growing fintech companies, demonstrating remarkable growth and innovation.#1 on Deloitte’s Technology Fast 50 for 2023, 2024, and 2025 — the first company ever to achieve a three-peat at the top!#1 Fastest Growing Company in Canada for 2024 by Globe & MailHighly rated mobile applications and credit cardsA vibrant team of over 500 dedicated professionalsOver 1 million satisfied customers10,000+ retail partnershipsThe RoleWe are seeking a strategic and experienced Staff Data Scientist to take on a pivotal role in leading our Data Science team. You will play a crucial part in defining Neo's data science vision and facilitating the technical development of a team committed to crafting a brighter financial future for Canadians. This position presents a unique chance to leverage your expertise in tackling complex, impactful business challenges within a dynamic fintech setting. Your responsibilities will include guiding technical strategy, mentoring team members, and promoting best practices, all while aligning with Neo's core values of Teamwork, Ownership, and Professional Integrity.Key Responsibilities:Leading technical strategy and overseeing the comprehensive delivery of advanced machine learning models in marketing and loyalty segments.Supervising the technical growth of data scientists, steering intricate projects, nurturing skill enhancement, and ensuring top-tier model execution.Advocating for and advancing model transparency and business confidence through sophisticated SHAP insights, validation reports, and effective communication with senior stakeholders.

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.

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.

Join Our Innovative Team!Sanctuary, a global frontrunner in developing AI-driven control systems for humanoid robotics, is on the lookout for a Staff Research Scientist specializing in dexterous manipulation to enhance our groundbreaking projects.In this pivotal role, you will leverage state-of-the-art methodologies to design robust training and data collection systems. You will manage the assessment of these algorithms in simulated environments and deploy them on our advanced robots in real-world applications. This is a unique opportunity to contribute to pioneering advancements in haptic and proprioceptive sensing techniques, utilizing our in-house robot equipped with dexterous hands.

Machine Learning Innovator: At AlgaeCal, we don't just work with data; we transform it into actionable insights that shape our strategies, optimize efficiencies, and drive growth. As a Data Scientist Intern, your predictive models will play an integral role in advancing our mission to combat bone loss, impacting millions of lives.Our team thrives on uncovering hidden patterns and validating hypotheses. If you're passionate about integrating machine learning into real-world AI applications, we want to hear from you.Join us and be part of something meaningful. With an estimated 54 million people in the U.S. facing low bone density, your work here will provide hope through our clinically-backed natural solutions.

Senior Staff Data Scientist (Generative AI, Machine Learning): Are you excited about the potential of Generative AI? Do you aspire to make a global impact while addressing challenges in the realm of Artificial Intelligence? Do you envision yourself creating revolutionary products that will redefine the future of AI-driven network management? If so, we invite you to join us at Extreme Networks and take your career to the next level.This is a unique opportunity to influence the development of next-generation networking solutions within the realms of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will play a pivotal role in defining the user experience, shaping product vision, and crafting the technical roadmap, ultimately driving innovation from inception to execution.Now is an exceptional time to join Extreme. Our recent acquisitions have expanded our portfolio and market strategy, leading to unprecedented global growth. We are recognized as a Technology Leader in the Gartner Magic Quadrant and have been honored with multiple Best Employer awards. At Extreme, we are dedicated to fostering a culture of diversity, inclusion, and equality, where every employee thrives because of their unique differences.Our AI Core group is at the forefront of developing platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations not only enhance our flagship products but also pave the way for entirely new offerings. Together, we are driving a significant transformation in how businesses manage their networks by creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.At Extreme, innovation is not just encouraged; it is an expectation. Join us and help to shape the future of network intelligence.