As a Data Scientist you will be focused on leveraging our data to help prioritize product development, identify optimization opportunities, and automate data flows and analyses for key decision makers. Your initial analytics efforts will be focused on supporting stakeholders across multiple areas of the business (primarily product and growth marketing). This position is ideal for candidates with a proclivity for diving into new domains and building business intuition.
Lead technical innovation in Shipments ETA prediction across multiple transportation modes. This senior individual contributor role requires deep expertise in predictive modeling, supply chain analytics, and transportation logistics, with particular strength in regression problems and modern deep learning architectures. You will be the technical authority driving ETA accuracy improvements for Full Truck Load (FTL), Less-than-Truckload (LTL), Parcel, and complex multi-pickup/delivery scenarios.
As a Data Engineer at Loop, you’ll impact the ability to solve merchant problems and fulfill merchant needs. You’ll be an integral member of the team, owning all aspects of data availability, quality, and ease of use of our data platforms. Your success in this role will depend on a healthy blend of creativity and structure with a continuous focus on delivering value to the business.
The SDI team is the driving force behind Self Directed Investing and Crypto products at Wealthsimple and is looking for Senior Data Scientists to lead high priority initiatives and ensure product strategy is grounded in data and analytics. This role will function as a product shaper, partnering directly with teams to frame critical business questions, design sophisticated measurement and experimentation strategies, execute causal analyses, and use compelling evidence to influence product roadmaps and fuel the growth of our SDI and Crypto products.
Sagent is seeking an experienced Data Engineer to join our Dara product(s) team. Dara is the next generation, cloud native, mortgage servicing platform positioned to transform the $13T mortgage industry. As a Data Engineer you will be responsible for leading the design and implementation of comprehensive data solutions.
Shape the future of how Canva generate and interact with business insights through data. This role involves building the foundational analytics layer for using large language models, designing scalable semantic data models, and partnering with data scientists to automate performance reporting. You'll also modernize legacy dashboards with AI and contribute to a data platform that supports better decision-making.
At Resultant, they are fearless problem solvers passionate about helping clients solve their toughest problems. As a Senior Data Scientist / Machine Learning Engineer, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. You will engage with clients to understand business needs and translate them into technical requirements.
In this role, you’ll focus on enhancing our Python-based frameworks, optimizing SQL queries, and improving data access and performance within both the Snowflake and ServiceNow platforms. As a Senior Data Engineer, you will design and implement scalable, high-performance data models and pipelines that power analytics, dashboards, and data science initiatives across the organization.
Be a crucial member of our Customer Data Engineering (CDE) team, empowering customers to unlock the full potential of CaptivateIQ’s products. Design and implement customer data integrations using IPaaS platforms. Write and optimize advanced SQL (Snowflake) to power analytics and automation. Build and maintain software for orchestration of customer data integrations.
Assemble large, complex data that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements, automating manual processes and optimizing data delivery. Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services. Work with stakeholders to assist with data-related technical issues and support their data requirement needs.