Supports data extraction, organization, and analysis from various sources for fraud prevention studies.
Contributes to data preparation and feature engineering for building analytical models.
Participates in the development, training, validation, and deployment of machine learning models for biometrics, liveness, and device intelligence.
Serasa Experian is the first and largest Datatech in Brazil, a leader in intelligence solutions for risk analysis and opportunities. With 22,000 employees across 32 countries, the company fosters a culture of innovation, inclusion, and well-being, committed to building a better future for people and businesses.
Own the fulfillment data asset as a product, defining the vision, strategy, and canonical model for the domain.
Build governed, trusted data products that feed analytics, machine learning, and decisioning workloads.
Drive delivery, adoption, and data health with strong stakeholder management and a focus on measurable business impact.
ezCater is the #1 food tech platform for workplaces in the US, making it easy for organizations to manage food needs and order from over 125,000 restaurants nationwide. The company values work/life harmony, employs passionate and engaged colleagues, and offers a high-performing, innovative environment.
Leverage advanced machine learning techniques, including LLMs, to understand customer problems and enhance support experiences.
Develop and deploy deep learning and graph-based models to optimize customer routing and automate resolution at scale.
Work within product squads alongside data scientists, engineers, and operations specialists to drive measurable business impact.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with innovative features like a hot coral card and get-paid-early. With a history of over 10 years in the UK, we prioritize financial education and award-winning customer service, fostering a diverse and inclusive culture for our growing team.
Own and extend our offline eval suite across AI products, building datasets, judges, and metrics for quality assurance.
Build and maintain online quality dashboards tracking resolution rate, CSAT, and LLM-as-judge signals.
Close the production feedback loop by mining failure patterns from real traffic and translating data into product decisions.
Finom is a European tech startup headquartered in Amsterdam developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over $346 million in total funding and a Series C round led by General Catalyst, the company has a start-up culture focused on innovation and thorough research, empowering employees to make a genuine impact.
Define and evolve Xsolla's enterprise-wide data strategy to improve monetization outcomes for game developers.
Build and lead teams, roadmaps, and infrastructure to turn data into a competitive advantage.
Partner with cross-functional teams to identify where machine learning and AI can directly increase developer revenue and player lifetime value.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers and fosters a supportive, inclusive culture with 100% company-paid benefits and unlimited PTO.
Architect data models and intelligence layer to enable AI agents for nonprofit automation.
Design, build, and deploy machine learning models in production using cloud platforms.
Translate complex data outputs into actionable insights for customers and internal teams.
Neon One creates intuitive nonprofit software to help small and mid-sized nonprofits connect with people and build trust. We are powered by empathy, innovation, and a shared mission to empower organizations making a difference.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across our portfolio of brands.
Establish trusted partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
Define clear business-value metrics alongside technical performance targets for engagements.
Lead technical scoping, feasibility assessments, and solution design for proposals and client pitches.
Design scalable, end-to-end ML pipelines spanning data analysis, model training, deployment, and MLOps.
Lovelytics helps complex enterprises modernize their data and put AI to work in production. It has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
Design, develop, and deploy machine learning and statistical models for forecasting and risk assessment.
Use experimentation and statistical methods to test product changes and improve customer experience.
Analyze large datasets to identify signals, engineer features, and inform model design.
Pipe is a financial technology company that provides a platform for businesses to access capital. It is a fully remote company with a culture of authenticity, humility, and excellence.