Senior Forward-Deployed Data Scientist

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

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.

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.

Relay is an innovative digital banking platform designed to empower self-made entrepreneurs with essential financial tools and insights. Our mission is to eliminate financial uncertainty, providing clarity, confidence, and control over every dollar earned, enabling business owners to transform their hard work into enduring success.We are seeking an experienced Senior Data Scientist to join our impactful Data team. In this pivotal role, you will enhance Relay's data capabilities by developing predictive models, facilitating experimentation across various teams, and supporting data-driven decision-making processes. As a key strategic partner, you will collaborate closely with data engineering and business intelligence to translate complex business inquiries into actionable insights that drive success in GTM, Sales, Finance, and Product.Note: We operate in a hybrid work environment, collaborating in the office three days a week (Tuesday to Thursday).Key ResponsibilitiesLead predictive modeling initiatives across critical business areas such as customer lifetime value (LTV), churn analysis, retention strategies, and customer quality assessment.Facilitate the implementation of Relay's experiment infrastructure, establishing rigorous A/B testing protocols to enable confident, data-informed decisions across the organization.Collaborate with cross-functional teams including GTM, Sales, Finance, and Product to convert ambiguous business challenges into well-defined analytical problems with measurable outcomes.Define and refine core metric definitions to ensure the business operates from a consistent and reliable data foundation.Present insights and findings to stakeholders through compelling narratives that go beyond mere numbers, illustrating their implications and next steps.Contribute to strategic roadmap planning and influence prioritization decisions among data team members and cross-functional partners.Mentor junior data scientists to elevate the standard of business-aligned, impactful data science across the team.Ideal Candidate ProfileYou possess hands-on experience in building...

About the Role HelloFresh is looking for a Senior Data Scientist focused on menu personalization to join the team in Toronto, Ontario, Canada. This role centers on building and refining recommendation systems that help customers discover the most relevant and appealing menu options across HelloFresh’s global markets. What You’ll Do Design, implement, and improve algorithms for personalized menu recommendations. Work closely with other Data Scientists and collaborate with Data, Backend, and Machine Learning Engineers to turn statistical methods and ML models into real product features. Shape the customer experience by ensuring menu selections are tailored and engaging, directly impacting business growth. Propose multiple approaches to problems, drawing on past experience, and prioritize solutions by effort and potential impact. Balance independent work with team support, contributing as a senior member and offering guidance when needed. What Will Help You Succeed Curiosity and comfort with ambiguity. Ability to quickly learn and adapt to new challenges. Strong focus on identifying and prioritizing the right problems to solve. Experience customizing solutions for different business needs.

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 Gorgias as a Senior Data Scientist and play a pivotal role in transforming our data into actionable insights. In this position, you will leverage your expertise in statistical analysis, machine learning, and data visualization to enhance our customer experience and drive strategic decision-making. Collaborate with cross-functional teams to develop innovative solutions and contribute to our mission of providing top-notch support for e-commerce businesses.

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.

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

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 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.

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 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.

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.

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.

The Trade Desk is a pioneering global technology company dedicated to fostering a more open and equitable internet for all through innovative advertising solutions. With the capability to process over 1 trillion queries daily, our platform operates at an unmatched scale. We pride ourselves on cultivating an award-winning culture founded on trust, ownership, empathy, and collaboration. At The Trade Desk, we appreciate the unique experiences and perspectives each individual brings, and we are committed to creating inclusive environments where everyone can express their true selves at work.Are you driven by the challenge of solving complex problems on a large scale? Do you want to be part of a vibrant, globally-connected team where your contributions have a significant impact on refining the media ecosystem? Join us and discover why Fortune magazine consistently names The Trade Desk among the top small to medium-sized workplaces worldwide.ABOUT THE ROLEAs a Data Scientist at The Trade Desk, you will collaborate closely with engineering teams throughout the entire product lifecycle, from conception through to production and monitoring. Our data scientists take full ownership, actively engaging in the design, research, development, and delivery of data-centric products that serve our clients and traders.This role focuses on applying cutting-edge modeling techniques to tackle measurement challenges within the Advertising Technology sector. You will gather and analyze data, investigate methodologies, design experiments to validate model outcomes, and implement research findings into production. While you will work across various measurement methods in AdTech, your primary focus will be on advancing both internal and external clients towards more sophisticated measurement solutions that demonstrate the causal impact of ads served through the TTD platform. Your efforts will contribute to enhancing the accessibility and effectiveness of causal lift on our platform.The key responsibilities include:- Evaluate, explore, and deploy models to address the question: 'Are TTD ads driving incremental lift?'- Define and develop methodologies to optimize for causal effects.- Investigate data from multiple sources within TTD and create ETL pipelines for model training.- Design and analyze experiments (e.g., A/B testing) to validate model results.- Collaborate with cross-functional stakeholders to devise the best implementation and testing strategies.