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.
Extract, transform, and load data using big data platforms like Palantir Foundry, leveraging Python and PySpark.
Build low-code no-code applications for real-time readiness dashboards and automate data ingestion from legacy systems.
Create predictive models to forecast equipment failures, personnel shortages, or budget overruns.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. With a focus on agility and collaboration, LMI serves defense, space, healthcare, and energy sectors, delivering impactful results.
Design and implement enterprise data governance frameworks including data quality, metadata, and policy definition.
Develop end-to-end data architecture and data flow models supporting analytics and AI/ML.
Lead current-state assessments and build actionable roadmaps for data maturity and AI readiness.
The partner company helps organizations become truly data-driven through data governance and strategy frameworks. Size and culture are not specified in the posting, but the role involves high-impact consulting and collaboration with senior stakeholders.
Lead product measurement strategy by owning KPI frameworks and metric definitions that help teams measure long-term user value and business health.
Generate proactive insights by exploring complex datasets to identify non-obvious user behaviors and quantify their impact on customers and business.
Shape product strategy with data by synthesizing multiple data sources into clear, evidence-based recommendations for senior leaders.
Ancestry is the global leader in family history, connecting people with their past through a collection of over 65 billion records and a DNA network of over 27 million people. With over 3.5 million subscribers and 40 years of history, the company fosters an inclusive, diverse work environment with a location-flexible approach.
Avaliar e priorizar demandas junto ao time de Analistas de Dados, considerando complexidade, esforço e impacto.
Orientar e dar suporte técnico ao time, contribuindo para o desenvolvimento de dashboards e análises.
Definir diretrizes e garantir consistência da camada semântica de métricas e documentação.
A Looqbox é uma ferramenta de inteligência artificial que transforma os dados das empresas em ação. A empresa busca um Tech Lead de Dados para atuar na conexão entre necessidades dos clientes e entregas técnicas.
Collaborate with cross-functional teams to design and deliver scalable data solutions for the Unified Data Platform on Azure Fabric.
Build and optimize data pipelines, ETL/ELT processes, and ensure data quality and compliance with HIPAA and governance standards.
Work directly with researchers to translate requirements into technical designs and contribute to the evaluation of emerging technologies.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate and prepare leaders for the future. It is a large academic institution with a collaborative culture focused on research, education, and community impact.
Review and evaluate AI-generated agricultural Q&A pairs for accuracy, clarity, and practical usability.
Create, validate, and review agricultural content cards covering crops, livestock, and climate resilience.
Participate in calibration sessions and structured evaluation workflows to enhance AI model performance.
Our partner is a company focused on improving the quality, reliability, and relevance of AI-powered agricultural advisory content for farmers and extension ecosystems. They operate with a global team and emphasize a flexible remote engagement model, collaborating with agricultural and technology experts.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Create original financial documentation, including reports, valuation models, and investment analyses, to enhance AI understanding of complex financial concepts.
Produce self-authored materials in Word or PDF formats, incorporating structured insights with tables, charts, and visual representations.
Contribute documentation of varying lengths (typically 10–100 pages) and ensure content reflects strong financial reasoning and accuracy.
Jobgether is a job matching platform that uses AI to connect candidates with hiring companies. Their partner company is seeking a Financial Documentation Expert to contribute to AI training data quality, offering a flexible contractor setup for experienced finance professionals.
Review and critically evaluate new AI benchmarks on a regular cadence.
Produce clear, publication-ready research reports for broad audiences.
Analyze benchmark datasets using coding tools while maintaining analytical oversight.
The company focuses on producing rigorous, public-facing evaluations of AI benchmarks. It is a remote-first organization with a collaborative culture that values critical thinking and independence.