Build and own scalable ingestion pipelines for sold-listing data from multiple marketplaces.
Design entity resolution logic to match inconsistent listings to canonical items and develop valuation logic.
Create production data quality monitoring and partner with computer vision lead on item-matching standards.
This is an online marketplace focused on reliable pricing for sold listings. It is an early-stage startup with a small, collaborative team, partnering closely with computer vision.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
Develop analytical solutions using Python, SQL, and ML for workforce management.
Work with HR and timekeeping data to detect patterns and anomalies.
Collaborate with IT and business stakeholders on AI-driven initiatives.
The company leverages data science and AI to improve workforce management and operational efficiency. It offers a fully remote, innovation-focused environment and is open to people with disabilities.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Lead development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data.
Build interpretable, well-calibrated models and drive new methods from prototype through scalable implementation to clinical validation.
Collaborate with molecular biologists and clinical experts and mentor junior scientists.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions who care deeply for the work and each other.
Build and maintain recurring reporting, dashboards, and data models that drive your business line.
Apply statistical and predictive modeling, A/B testing, and AI-first execution to deliver actionable insights.
Partner with business and data stakeholders to prioritize analytics and translate complex data into clear narratives.
Docplanner Group is a healthcare platform connecting 24 million patients with 280k doctors across 13 countries through brands like Doctoralia. With 3,000+ employees, it's an agile, hands-on culture focused on results, ownership, and learning.
Lead the development and execution of data science and analytics initiatives that support strategic and tactical business objectives.
Transform large volumes of structured and unstructured data into meaningful insights, analytical solutions, and business recommendations.
Manage and mentor data science professionals while fostering collaboration, innovation, and continuous development.
CenterWell is a healthcare company that leverages data and analytics to improve consumer experiences and business performance. It fosters a collaborative, innovative culture with a focus on professional growth and continuous development.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.