Own the design and development of scalable, reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting.
Lead the creation of high-quality labeled datasets that power supervised machine learning, rules-based fraud detection and predictive chargeback modeling
Build and maintain real-time dashboards and reporting mechanisms that provide leadership, operations and product teams with visibility into critical KPIs across Risk, Fraud and Disputes
Support production systems and help triage issues during live sporting events
Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
Integrate large and complex real-time datasets into new consumer and enterprise products
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Partner with stakeholders to translate business challenges into data science problems.
Own the end-to-end lifecycle of data science models, from data exploration to deployment.
Develop scalable and efficient models, balancing algorithmic complexity with business needs.
Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud.
Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability.
Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and corporate headquarters are in Dublin, Ireland.
Looking for young talent ready to go all in. Offering significant equity to people who want to build something that matters. Define the future of AI in influencer marketing.
Influur is redefining how advertising works through creators, data, and AI, aiming to make influencer marketing as measurable, predictable, and scalable as paid ads.
As a Senior Data Engineer, shape a scalable data platform that drives business insights. Design and maintain robust data pipelines and collaborate with cross-functional teams. Tackle complex data challenges, implement best practices, and mentor junior engineers.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.
Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse, Python, and dbt.
Build systems that handle large-scale streaming and batch data, with a strong emphasis on correctness and operational stability.
Own the end-to-end lifecycle of data pipelines, from raw ingestion to clean, well-defined datasets consumed by downstream teams.
Nansen is a leading blockchain analytics platform that empowers investors and professionals with real-time, actionable insights derived from on-chain data. We’re building the world’s best blockchain analytics platform, and data is at the heart of everything we do.
Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.
Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.
Design and validate rule-based and machine learning models for transaction monitoring. Build and optimize scalable data pipelines integrating blockchain analytics. Lead the development and execution of comprehensive metrics and data reporting frameworks.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps).
Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
This position is posted by Jobgether on behalf of a partner company.
As a Solution Engineer, you will meet with data partners, assess requirements, and recommend pipeline improvements to manage data export and delivery in an efficient, scalable process. You will be part of a small, cross-functional team that includes other engineers, a product manager, data scientists, and others. Success requires the ability to take on ambiguous, complex problems and promote innovative solutions to address immediate needs and support future growth.
Fetch is a rewards app that empowers consumers to live rewarded throughout their day and has delivered more than $1 billion in rewards and earned over 5 million five-star reviews.
Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.
Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.
Design, build, and maintain scalable and reliable data pipelines.
Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code.
Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources.
Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.