Lead the full algorithm development lifecycle for biosignal-based medical devices.
Select and implement appropriate machine learning and deep learning methods for each problem.
Present results to stakeholders and support client engagement for algorithm impact.
Beacon Biosignals is on a mission to revolutionize precision medicine for the brain using an at-home EEG platform. They have a database of nearly 100,000 patients and a culture of remote work and diversity.
Design and implement radiometric calibration and image processing for multispectral infrared imagery from Muon's FireSat mission.
Develop and execute the calibration program for the SBEM infrared camera, including pre-launch and on-orbit activities.
Collaborate cross-functionally to build and maintain production pipelines for calibration and data processing.
Muon Space is an end-to-end space systems provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Founded in 2021, the company is a startup with a state-of-the-art facility in Silicon Valley, dedicated to creating a diverse and dynamic workforce.
Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.
Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
Build predictive models, AI tools, and data visualizations to support product design and automate processes.
Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.
Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.
Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.
Partner with Product & Engineering to analyze product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. Operating as a fully virtual and remote-first employer, the company values customer focus, execution, candid communication, collaboration, and joy.
Shape Mozilla's most important business decisions with rigorous, data-driven insights and influence executive strategy.
Build trusted partnerships with senior leaders and cross-functional partners to drive alignment and faster decisions.
Design sophisticated analytical solutions for large-scale problems, mentoring data scientists and raising technical standards.
Mozilla is a non-profit-backed technology company that pioneered the Firefox browser and shapes the internet for the better. With over 225 million monthly users and a mission-driven culture, Mozillians design open-source software globally.
Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
Research and develop new methods and tools to improve the business and present results to leadership.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.
Build and deploy machine learning models to detect and respond to fraud across the platform.
Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.
Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.
Lead complex analytical, predictive, and applied AI workstreams with high independence.
Define data science approaches and modeling strategies for high-value business problems.
Mentor junior practitioners and improve delivery quality through best practices.
Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. With a global, borderless team and a culture fostering creativity and autonomy, they partner with leading companies like L'Oréal and Audi.