Remote Data Jobs

Support IRS Development, Infrastructure, Security and Modernization (DISM) program by producing financial and market intelligence by querying data repositories and generating periodic reports. Devises methods for identifying data patterns and trends in available information sources to support strategic decision-making. This is a fully remote program and requires all individuals to pass an IRS investigation and acquire a public trust clearance.

As a Data Scientist at Mitratech, you will be assisting in the development of Artificial Intelligence products. This role involves analyzing business requirements, understanding data, and building models that solve problems in the legal industry. Responsibilities include selecting features, building classifiers using machine learning, data mining, enhancing data collection, and creating anomaly detection systems.

As the Customer Analytics Analyst, you are responsible for data compilation, process mapping, and analysis with the aim of identifying tactical and strategic improvements to customer experience, process improvement and efficiency gains in line with business strategy, vision and culture. You will be responsible for the development and presentation of in-depth case studies on strategic business topics, spanning all channels (Voice, eMail, Chat etc) as they relate to the contact centre.

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.

This position supports PN Operations by gathering, cleaning, and analyzing data to produce accurate reports and dashboards that inform decisions. This role maintains data quality, documents processes, responds to ad-hoc requests, and develops proficiency in data sets, spreadsheets, and BI tools. The analyst reviews incoming data to identify anomalies and ensures completeness for reporting/analysis products.

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.