Source Job

• Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
• Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
• Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.

• Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
• Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
• Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.

Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.

• Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
• Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
• Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.

Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.

• Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
• Drive behavioral analytics, customer segmentation, experimentation, and product measurement to inform roadmap investments.
• Develop revenue forecasts, churn models, and customer health scores while defining standards for analytics and data science.

Customer.io powers automated communication for over 9,000 companies, helping teams send smarter messages using real-time behavioral data. They are a growing company that values empathy, transparency, and responsibility, offering remote-friendly roles.

• Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
• Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
• Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company serves 93% of the Fortune 100 and offers a trusted portfolio of creative execution and business process consulting.

• Lead a high-calibre ML team to shape Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion.
• Improve underwriting, pricing, limits, and lifecycle decisioning through faster model iteration and new data sources.
• Partner with leaders across Credit Strategy, Product, Engineering, and Data to drive commercial impact and long-term strategic advantage.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions. As a rapidly growing fintech with a strong UK presence, we foster an inclusive culture focused on innovation and customer delight.

• 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.

• Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
• Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
• Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.

Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.

• Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
• Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
• Partner with engineering teams to operationalize MLOps practices and productionize models.

Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.

• Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
• Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
• Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.

AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.

• Lead analyses translating data into actionable insights for post-campaign reports.
• Build and maintain tagging models using prompt engineering and traditional ML methods.
• Synthesize analyses across programs to inform strategy and contribute to organic social research.

Vocal Media is a company focused on measuring the impact of digital campaigns and uncovering insights for social impact. They are a fully remote team committed to diversity and equity, with a culture that values leadership and inclusivity.

• Design and maintain data pipelines and auto-labeling systems to support ML model training from multimodal data.
• Write and optimize SQL queries for data extraction, analysis, and ingestion from various sources.
• Develop and prototype learning-based models using a data-centric approach with techniques like active learning and fine-tuning.

Serve Robotics is reimagining urban delivery with sidewalk robots, aiming to reduce congestion and support local businesses. The team is an agile, diverse group of tech industry veterans focused on robotics, machine learning, and end-to-end user experience.

• Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
• Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
• Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.

Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.

• 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, 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.

• Conduct in-depth analysis to shape product-led growth and B2B strategy.
• Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
• Collaborate with product and engineering teams to drive experimentation culture and practices.

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

• Lead and develop a multi-team data science organization responsible for complex modeling components for pricing and underwriting.
• Partner with Product Design, Product Management, Underwriting, and other stakeholders to align data science work with business priorities.
• Oversee the development, validation, and implementation of pricing and underwriting model components while managing governance and risk.

Liberty Mutual is a global insurer offering a range of insurance products and services. They employ thousands and emphasize an inclusive culture, workplace flexibility, and professional development supported by Employee Resource Groups.

• Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
• Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
• Mentor junior data scientists and influence technical decisions within the team.

OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.

• Design, build, and scale systems for customer-facing data products and machine learning workloads.
• Collaborate with product, engineering, and cross-functional partners on complex data challenges.
• Implement data quality, observability, and governance frameworks for reliable data at scale.

Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.

• Set the technical strategy for your team, tying together critical projects across repayment, collections, recovery, and loss mitigation.
• Act as a force-multiplier by defining and advocating technical solutions and operational processes.
• Collaborate with product management, design, analytics, and risk to ensure technical sustainability and manage trade-offs.

Affirm is reinventing credit to make it more honest and friendly, giving consumers flexibility to buy now and pay later without hidden fees. The company is remote-first with a focus on people-first culture and offers competitive benefits.