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Experience Level
Experience
Qualifications
Proven experience in data analysis, machine learning, and statistical modeling. Strong programming skills in Python and R. Experience with data visualization tools such as Tableau or Power BI. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. Master's degree in Data Science, Statistics, Computer Science, or a related field preferred.
About the job
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.
About Spotify Technology S.A.
Spotify is a leading audio streaming service known for its vast music library and innovative approach to connecting artists and fans. Our mission is to unlock the potential of human creativity by providing a platform for artists to share their music with the world. Join us and be part of a diverse team that values creativity and innovation.
Join our dynamic team at Egis Group as an Environmental Scientist in Mining. We are seeking a dedicated professional who is passionate about environmental sustainability and mining practices. In this role, you will be responsible for conducting environmental assessments, ensuring compliance with regulations, and implementing strategies to mitigate environmen…
Join Egis Group as a Project Manager specializing in Nuclear and Mining sectors. In this pivotal role, you will lead and manage projects from initiation to completion, ensuring adherence to timelines, budgets, and quality standards. You will collaborate with cross-functional teams and stakeholders to provide innovative solutions that meet client needs. Your expertise will be crucial in navigating the complexities of nuclear and mining operations while ensuring compliance with safety regulations.
Position Type: ExistingWe are actively seeking a talented Business Development Manager to become an integral part of our Mining team, located in Toronto, ON. In this role, you will spearhead business development initiatives for Bantrel's mining operations within the Canadian market. You will report directly to the Vice President of Client Solutions and will collaborate closely with Bechtel Mining and Metals to enhance our North American business development efforts.Join us in this full-time permanent opportunity and help us champion diversity and inclusion.Key Responsibilities:Contribute to Bantrel’s strategic framework through comprehensive market, client, and competitor analysis across Canada.Lead the development of mining and infrastructure proposals and manage the response process, including crafting capture strategies and coordinating proposal development.Actively represent Bantrel within the industry to cultivate relationships and enhance brand awareness.Collaborate closely with the Vice President/General Manager to formulate and implement strategies for market development and penetration aligned with business objectives.Oversee the pursuit risk management process, ensuring close collaboration with Bantrel's legal and project management teams during prime contract reviews.Support the commercial strategy for project pursuits.Foster regular collaboration with Bechtel's Global Business Unit (GBU) to optimize offerings for clients in our shared markets.
Full-time|On-site|Greater Toronto and Hamilton Area
Join our dynamic team at Egis Group as an Environmental Engineer - Geoscientist, where you will play a vital role in shaping sustainable solutions for our projects. You will leverage your expertise in geoscience to analyze environmental data, contribute to impactful assessments, and collaborate with multidisciplinary teams to ensure compliance with environmental regulations.
Join Egis Group as an Intermediate Environmental Modeller, where your skills will contribute to innovative environmental projects that shape a sustainable future. In this role, you will leverage your expertise in environmental modeling to support various initiatives, ensuring compliance with environmental regulations while promoting best practices.
Join our dynamic team at Egis Group as an Intermediate Environmental and Water Quality Modeller, where you will play a crucial role in developing innovative solutions for water quality management. You will work on diverse projects that contribute to sustainable environmental practices.
Join Egis Group as an Intermediate Environmental Risk Assessment Specialist, where you will play a pivotal role in evaluating and mitigating environmental risks for diverse projects. You will apply your expertise to assess environmental impacts, develop risk management strategies, and collaborate with multidisciplinary teams to ensure compliance with regulatory standards.
Join the University Health Network as an Environmental Services Associate and play a vital role in maintaining a clean and safe environment for our patients and staff. In this position, you will be responsible for performing cleaning and sanitation tasks across various departments, including patient rooms, waiting areas, and offices.As a crucial member of our healthcare team, you will ensure that our facilities meet the highest standards of cleanliness and hygiene. Your attention to detail and commitment to excellence will contribute to the overall well-being of our community.
Full-time|On-site|Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada
Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.
Full-time|CA$168K/yr - CA$231K/yr|On-site|Toronto, ON
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 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 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 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.
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.
Join Waabi as a Research Scientist in Neural Reconstruction, where you'll be at the forefront of advancing neural network technologies. We are seeking innovative minds with a passion for artificial intelligence and machine learning to contribute to groundbreaking research in neural reconstruction.
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 our dynamic team as a Data Scientist, where your passion for Machine Learning meets your expertise in Statistics and Computer Science. You will work on innovative data science projects utilizing both structured and unstructured data, with the goal of developing scalable machine learning models that impact business outcomes. Your role will involve creating data products that provide valuable insights, and your critical thinking and problem-solving skills will be key to your success.
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 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.
May 1, 2026
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