Source Job

• Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
• Design features, build tools, and deploy models in production environments to improve performance and stability.
• Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.

Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.

• Assess current pipelines and data architecture to produce a prioritized plan for change.
• Design durable data and ML systems grounded in customer needs with documented tradeoffs.
• Harden pipelines, upgrade data architecture, and raise standards for observability and reliability.

FutureFit AI's core mission is to help more people get to better jobs faster and cheaper, with a focus on those facing barriers to opportunity. Their team of 30-50 across the US and Canada fosters a high trust, high intensity culture with a will to win.

• Serve as a senior technical reviewer across active modeling projects to identify structural risks and provide actionable feedback.
• Partner with data science managers and business stakeholders to translate ambiguous business problems into well-scoped modeling applications.
• Mentor data scientists and senior modelers, contributing to shared standards and community leadership in data science practices.

Liberty Mutual is a diversified insurer offering a wide range of insurance products to individuals and businesses. The company has a large workforce and fosters a culture focused on innovation, inclusion, and professional development, with a strong emphasis on community and employee well-being.

• Build scalable Python-based data pipelines and backend services for analytics workflows.
• Design software systems using object-oriented programming and sound engineering practices.
• Create and support platforms for analytics development, model training, and model deployment.

Experian is a global data and technology company that powers opportunities for people and businesses worldwide across markets like financial services, healthcare, and automotive. With a team of 25,200 people in 32 countries, Experian invests in advanced technologies and its people to unlock the power of data.

• Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
• Own the full ML workflow from problem framing to production deployment and monitoring.
• Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.

OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.

• Identify and own challenging problems, form testable hypotheses, and drive significant business impact.
• Lead the design and analysis of experiments or development of causal and predictive models to test your ideas.
• Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams.

Yelp operates a platform connecting users with local businesses through user-contributed content. As a large company with millions of users and listings, it fosters a cooperative culture that values individual authenticity and encourages creative solutions.

• Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
• Build predictive and inferential models to improve product and operational decisions.
• Partner with Product, Engineering, and Operations to define metrics and drive insights.

Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.

• Build, deploy, and maintain production systems for measurement products like MMM and Incrementality.
• Translate statistical and causal inference methods into scalable, customer-facing capabilities.
• Debug data, modeling, and production issues across the full stack from source data to customer outputs.

Northbeam builds a marketing intelligence platform for eCommerce brands, using attribution modeling and dashboards to track ad spend and customer journeys. They are a remote-friendly, high-growth company with offices in San Francisco and Los Angeles, seeking driven, collaborative team members.

• Design, train, evaluate, and ship ML systems for governance and security, starting with prompt injection detection and behavioral anomaly detection.
• Build supporting infrastructure including data pipelines, feature stores, model serving, and evaluation harnesses.
• Set technical direction for ML work, own architecture, evaluation methodology, and model lifecycle.

Docker provides developer tools for building, sharing, and running applications across Docker Desktop, Docker Hub, and Docker Scout. With over 20 million monthly users and a globally distributed remote-first team, Docker is trusted by solo founders to the world's largest companies.

• Design and operate core AI platform components for training, deploying, and serving ML models at scale.
• Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
• Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.

Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.

• Design and build systems that improve the efficiency of ML training and inference workloads.
• Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
• Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.

Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, Reddit is one of the internet's largest sources of information.

• Build and improve AI-native products and data-driven systems.
• Rapidly prototype and iterate on AI-powered features.
• Analyze, evaluate, and improve model outputs and system reliability.

FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. They work at the intersection of startup execution and real AI product development, helping companies build and improve production AI systems.

• Lead four engineers building and maintaining the credit risk modelling platform and surrounding infrastructure.
• Raise engineering standards across modelling systems, focusing on reliability, observability, reproducibility, and safe change.
• Stay hands-on in the codebase to address ambiguity and cross-system complexity while balancing rigour with speed.

Iwoca provides flexible finance for small and medium-sized businesses, using smart technology and data science to offer responsive funding. With over 100,000 businesses served and £4 billion in funding, their passionate team drives to support one million SMEs, creating lasting impact for communities and economies.

• Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
• Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
• Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.

Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.

• Partner with business stakeholders across Operations, Customer Success, Product, Growth, and Learning to drive data-informed decisions.
• Own data modeling and engineering, ensuring data quality and trust in dashboards and pipelines.
• Advance AI-native data practices and collaborate with engineering on analytics architecture.

Pathstream transforms frontline employees into strategic contributors through enterprise partnerships. We are a mission-driven team of ~60 employees with a tight-knit, hardworking culture focused on scaling our solution across the United States.

• Own data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
• Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
• Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.

YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.

• Audit core operational metrics to isolate true causal drivers of operational variance and inefficiencies.
• Translate analytical insights into structured data tables and optimize Databricks Genie spaces.
• Execute rapid-response diagnostic investigations into operational shifts, presenting data-driven findings.

G-P provides a SaaS-based Global Employment Platform that enables clients to expand into over 180 countries. They are dedicated to breaking down barriers to global business and creating opportunities for everyone, with diverse, remote-first teams fostering innovation.

• Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
• Build models that automate refunds, getting money back to our customers faster.
• Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.

• Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
• Build and maintain integrations between the matching engine and an existing program management platform.
• Collaborate with SMEs to build, test, and refine user-configurable matching logic.

LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.

• Generate value‑driven insights from manufacturing, test, and deployment data.
• Transform manufacturing and quality concepts into data‑driven metrics.
• Automate manual workflows using AI and advanced analytics.

Averna delivers industry-leading test solutions and services for communications and electronics device makers worldwide, accelerating product development, quality and innovation. It is a fast-growing company with award-winning products and team with a dynamic atmosphere.