Staff Data Scientist

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 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 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 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.

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.

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.

Join Opendoor, a dynamic and innovative company transforming the real estate industry through technology. As a Data Scientist, you will leverage your analytical and statistical skills to extract meaningful insights from complex data sets, driving strategic decision-making.

Join Gameloft, a leader in the mobile gaming industry, as a Data Scientist. In this role, you will leverage data analytics and machine learning techniques to drive insights and improve game performance. Collaborate with cross-functional teams to develop innovative solutions that enhance player experiences. Your expertise will contribute to shaping the future of gaming.

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.

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.

About Instacart Instacart connects people with the groceries they love. The team works to make grocery shopping more accessible, supporting both customers and Instacart Personal Shoppers. Instacart aims to provide essential services for millions while offering flexible earning opportunities. Flexible Work at Instacart Instacart follows a Flex First approach. Employees can choose to work from home, an office, or another preferred location. Regular in-person events help maintain strong connections. Learn more about Instacart's flexible work options. Role Overview: Senior Data Scientist (Levels I & II) This posting covers multiple Senior Data Scientist roles within Instacart's four-sided marketplace. Openings are available at both L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. During the hiring process, candidates will learn about the team's challenges and participate in a team-matching step to find the best fit. Details about specific open roles appear at the end of the process. Location Remote within Canada (Ontario, Alberta, British Columbia, or Nova Scotia only). What You Will Do Develop and maintain analytical frameworks to guide product decisions. Design and run experiments, then interpret results to provide clear recommendations. Create statistical models to spot trends, measure outcomes, and forecast product performance. Build simulations to assess the effects of proposed product or policy changes. Promote data-driven decisions by building dashboards and analytical tools for wider use. Apply knowledge in causal inference and machine learning to uncover insights.

Join Opendoor as a Data Scientist and play a crucial role in transforming the real estate industry through data-driven insights and innovative solutions. In this role, you will leverage your analytical skills to extract meaningful patterns from complex datasets, helping to drive strategic decisions and improve our product offerings.

Join the dynamic team at Achievers as a Data Scientist, where you'll leverage your analytical skills to drive data-informed decisions and enhance employee engagement. You will be responsible for analyzing complex data sets, building predictive models, and providing actionable insights that will help shape our strategic initiatives.