Software Engineer, Rider Quality

Join Lyft as a Data Science Manager focusing on our Rider App. In this pivotal role, you will lead a team of talented data scientists to enhance the rider experience through data-driven insights and innovative solutions. You will collaborate closely with product managers and engineers to drive strategic initiatives, leveraging analytics to inform decision-making and optimize product performance.Your expertise in data analysis and leadership will empower your team to tackle complex challenges and deliver actionable insights that enhance our rider services. This is an exciting opportunity to make a significant impact in a fast-paced environment.

Join Lyft as an Analytics Lead focused on enhancing the Rider Experience. In this pivotal role, you will leverage data analytics to drive insights and shape strategies that improve user satisfaction and overall service quality. Collaborate with cross-functional teams to translate complex data into actionable solutions, ensuring our riders receive the best possible experience.

Role overview Numeris seeks a Senior Manager of Data Science to lead remote projects from Toronto, focusing on audience measurement. This position guides a team of data scientists as they create analytical models and shape methodologies that support Numeris services. What you will do Supervise and mentor a team of data scientists working on audience measurement projects Direct the creation of advanced analytical models to enhance Numeris products and services Develop and refine methodologies that influence how Numeris delivers value to its clients Use data insights to support strategic decisions across the organization Impact This role is central to Numeris’s ability to adapt in a changing industry. The Senior Manager of Data Science helps determine the direction of analytics, ensuring that clients benefit from approaches grounded in current thinking and innovation.

Join Lyft as a Product Analyst focusing on enhancing the Rider Experience. In this role, you will analyze data and feedback to shape the future of our platform. Your insights will directly impact our riders' experiences, ensuring they receive the highest level of service and satisfaction.

Join Lyft as a Data Science Decisions Specialist within our Verticals team! In this role, you'll leverage advanced data analytics and machine learning techniques to drive strategic decisions across various business domains. Collaborate with cross-functional teams to uncover insights that enhance operational efficiency and customer satisfaction.

Tiger Analytics is a premier advanced analytics consulting firm that partners with Fortune 100 companies to unlock the true potential of their data. Our team of expert consultants specializes in Data Science, Machine Learning, and Artificial Intelligence, and has been recognized by leading market research firms like Forrester and Gartner for our significant business impact.We are currently looking for a highly skilled Onshore Consultant with extensive expertise in the Life Sciences domain. This role will involve close collaboration with client stakeholders to translate complex business requirements into actionable project plans. You will also work in partnership with our offshore teams to deliver top-notch analytical solutions.Key Responsibilities:Collaborate with client teams to gather, analyze, and document business and analytical requirements.Translate client specifications into clear directives for offshore delivery teams.Serve as the primary onshore contact for project coordination and execution.Oversee project management, deliver client presentations, and provide regular updates on project status.Utilize basic SQL queries for data extraction and analysis to support business insights.Convert client requests into precise project requirements and solution approaches.Work effectively with offshore teams to ensure timely and quality delivery.Proactively engage with clients to discuss relevant solutions based on Tiger’s capabilities.Qualifications:5–8 years of professional experience in the Oncology and/or Life Sciences domain.Exceptional requirement-gathering and client-facing consulting skills.Hands-on experience with basic SQL and data analysis.Proven track record of successful collaboration with offshore delivery teams.Strong communication and presentation abilities.Capability to manage multiple workstreams in a dynamic environment.Experience operating within global delivery models.Familiarity with analytics platforms, reporting tools, or data ecosystems in the Life Sciences sector.Benefits:As a part of Tiger Analytics, you will find extensive career development opportunities within a vibrant and entrepreneurial environment. This position offers the chance to contribute to a rapidly growing company while enjoying a high degree of individual responsibility.

Veeva Systems is a mission-driven organization and a leader in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies ever, we achieved over $3 billion in revenue last fiscal year, with substantial growth potential ahead. Central to our success are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we embrace flexibility, allowing you to work from home or in-office, fostering an environment where you can thrive. Join us in transforming the life sciences industry and making a meaningful impact on our customers, employees, and communities.

Tiger Analytics seeks a Senior Manager for Business Intelligence Consulting with a focus on life sciences and pharmaceutical clients. This is a remote role based in Toronto, Ontario, Canada. Role overview This position centers on leading teams and delivering analytics-driven consulting projects for organizations in the life sciences and pharma industries. The Senior Manager guides projects from initial planning to final execution, ensuring deliverables meet quality standards and deadlines. What you will do Direct a team of analysts and consultants working on client projects within life sciences and pharma. Oversee all stages of project delivery, from planning through execution, with a focus on quality and timeliness. Collaborate with cross-functional groups to coordinate project efforts and encourage knowledge sharing. Apply data analytics best practices to help clients make informed decisions and streamline operations. Engage with stakeholders to understand their business needs and design solutions for complex challenges.

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.

Patsnap is a global SaaS company helping organizations use Intellectual Property to accelerate research and development. The platform connects IP and R&D teams, using AI tailored to specific domains, and supports over 12,000 customers worldwide. With offices in Singapore, Toronto, London, and Shanghai, Patsnap’s team values diversity and an inclusive culture. The company is pre-IPO, recently completed a $300M Series E funding round, and holds a $1 billion valuation. Role overview The Account Manager - Life Sciences manages a portfolio of clients in the life sciences sector. This position focuses on building lasting partnerships, guiding renewals, and spotting opportunities for growth. The goal is to help clients get the most out of Patsnap’s solutions while meeting retention and expansion targets. Collaboration with R&D leaders and participation in commercial discussions, from business reviews to contract negotiations, are central to the role. What you will do Maintain and strengthen relationships with life sciences clients, serving as a trusted advisor to R&D leaders Drive account renewals and find opportunities for strategic growth Lead commercial conversations, including quarterly business reviews and contract negotiations Support clients in maximizing the value of Patsnap’s platform Engage with leading innovators in the life sciences field Location and work arrangement This hybrid position is based in Downtown Toronto. Team members work from the office on Wednesdays, with the option to come in more often if they choose.

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 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 the RoleJoin our innovative team at Cosmo as a Data Analyst, where you will play a pivotal role in leveraging data to enhance our product offerings, customer experience, and operational efficiency. This position involves close collaboration with diverse teams to establish robust analytics frameworks, generate actionable insights, and steer strategic initiatives through data-driven decision-making.Key ResponsibilitiesCollaborate with cross-functional teams to identify data needs and create comprehensive dashboards, curated datasets, and reporting tools essential for daily operations.Design and maintain analytical data models that facilitate scalable and reliable data analysis.Provide insights into customer behavior, product performance, and subscription metrics to inform decisions across Product, Marketing, and Operations.Create and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate outputs into operational dashboards.Automate regular analyses, segmentation strategies, and reporting processes to enhance efficiency and reduce manual workloads.Lead initiatives for data unification, including evaluating data sources, strategizing integration, and designing canonical datasets.Contribute to best practices in analytics and data engineering, focusing on documentation, validation, and data quality standards.

We are seeking a talented and enthusiastic Data Engineer who thrives on the challenge of transforming raw data into actionable insights. If you are passionate about analytics and eager to contribute to the development and scaling of data capabilities within organizations, this role is for you. You will work closely with fellow data scientists to create robust data tools and pipelines that enhance data accessibility and usability. Your expertise in designing ETL workflows and data schemas will be crucial, and your critical thinking and problem-solving abilities will help drive our projects forward.

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.

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

Role Overview The Data Management & Visualization Manager at mediabrands in Toronto leads a team of developers responsible for building and maintaining dashboards and data visualizations. These tools provide insights into media performance, creative results, and audience trends. This manager oversees team operations, sets priorities, and ensures quality deliverables. Collaboration with data analysts, media planners, and other stakeholders is central to meeting reporting needs with clear and effective dashboards. What You Will Do Team Leadership & Management Support the professional growth of dashboard developers and encourage ongoing technical improvement. Hold regular one-on-one meetings, conduct performance reviews, and discuss career development with team members. Assign and prioritize tasks to balance workloads and meet project deadlines. Develop and refine team processes and best practices for dashboard work. Dashboard Development Guide the team in designing and implementing interactive dashboards and visualizations using tools such as Tableau, Power BI, Looker, DOMO, or Datorama. Review team outputs to maintain quality and align with stakeholder needs. Data Integration Oversee the connection of dashboards to various data sources, including databases, APIs, and cloud storage. Design and maintain data pipelines for extracting, transforming, and loading (ETL) data for dashboards. Set standards for data quality and resolve integration issues as they arise. Maintenance & Support Manage ongoing support for existing dashboards, including task delegation and issue tracking. Respond to escalated dashboard issues and ensure timely resolution. Identify and prioritize dashboard updates and enhancements based on feedback and business needs. Documentation Ensure the team creates and maintains thorough documentation for dashboards, data sources, and pipelines.

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.

About TripleLiftAt TripleLift, we are redefining the digital advertising landscape through visually appealing creative, reputable publishers, actionable insights, and intelligent targeting. With over a trillion ad transactions monthly, we empower publishers and platforms to effectively monetize their offerings. Our cutting-edge technology is the preferred choice for top global brands seeking to connect with audiences across various formats, including online video, connected television, display, and native ads. Clients turn to us for our innovative solutions, premium ad formats, and a dedicated team of experts committed to maximizing their advertising performance.As a member of the Vista Equity Partners portfolio, we proudly hold NMSDC certification, meet diverse spending goals, and are devoted to promoting economic inclusion. Discover more about how TripleLift enhances the programmatic ecosystem at triplelift.com.RoleAs a prominent player in the rapidly evolving AdTech Supply Side Platform, TripleLift is on the lookout for an accomplished Data Engineering Manager to lead and expand our Data Engineering team. This team is responsible for the backbone data infrastructure that powers our AdTech Exchange. You will manage the complete lifecycle of our data pipelines and platforms, guaranteeing the efficient ingestion, storage, and retrieval of event data from diverse sources. In this dynamic role, you'll mentor and lead a talented group of data engineers, identify hiring needs to scale the team, and collaborate with stakeholders across Product, Engineering, Data Science, and Commercial teams. Your leadership will be crucial in cultivating a culture of innovation and continuous improvement, driving the team towards exceptional standards in data engineering and ensuring robust delivery performance.ResponsibilitiesLead, mentor, and nurture a high-performing, geographically distributed team of data engineers, promoting a collaborative, inclusive, and growth-oriented culture while identifying talent needs and recruiting top candidates to enhance the team.Oversee the design, implementation, and maintenance of scalable, low-latency data pipelines and platforms that process hundreds of billions of daily events, ensuring optimal ingestion, processing, and storage of high-volume, high-throughput event data.Manage data platforms, including data lakes (S3), warehouses (Snowflake), and real-time...