You’ll play a key role in helping customers stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.
You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. Activities include writing DBT SQL pipelines, using Python/R with Hex.tech to conduct statistical analysis, and working in Sigma Computing to find insights in our customer journey.
Take a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla. Serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice. Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
This is a contract position requiring a seasoned data scientist. The role supports organizational planning by driving product insights, metric definitions, and advanced analysis to influence feature development and topline growth, discovering opportunities through data and helping engineering teams make insight-driven decisions.
Perform data mining and analytics on F5 production data to gain insight into cybersecurity risks and threat actors targeting F5 customers. Identify and characterize automated threats against F5 customers’ applications and present threat summaries and proposed countermeasures to customer executive, security, and related teams. Conduct interview sessions with the customer management teams to understand the client's requirements.
This Data Analyst will report to our Sr. Director of Research Solutions on the Partner team, focusing on supporting strategic engagements with Life Sciences partners, delivering collateral to demonstrate Truveta's value, driving adoption of Truveta Studio in the Life Sciences space, and leveraging technical skills to analyze Real World Data.
Head up the data science team and ensure the excellence of data science models. Partner closely with the data Product Manager, Analytics Engineering Lead and the rest of the data team to design, deploy and drive trust in the best-in-class predictive models. Serve as a technical lead for the design, implementation and continuous improvement of predictive models that enrich the database of voters across the country.
This full-time co-op position starting June 2025 will support the product team, working on new product features and having a meaningful impact on the company. The role involves tackling challenges, learning about new technologies, thinking of creative solutions, and sometimes blazing a new trail. This position is a perfect opportunity to learn and grow.
Lead the data strategy, drive actionable insights, and champion data-driven decision-making across the business to redefine how SMEs thrive through innovation. As the Head of Data and Analytics, you'll be responsible for leading and managing the data and analytics function, developing data strategies, and providing actionable insights to support business growth and optimization.
Design, build, document, and maintain custom state of the art RNAseq and other OMICs data-analysis pipelines and front-end tools for a large user base. Detect and resolve software bugs and performance issues. Provide on-demand technical support for applications. Educate and train colleagues in usage of these tools.