Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
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.
Understand customer's AI strategy and business critical challenges, finding the best problem-solution fit.
Support customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations.
Execute business-critical Proof-of-Value projects, including architecture and deliver secure, scalable systems.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, they are changemakers pushing the boundaries of what’s possible and invest heavily in advanced AI capabilities.
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.
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.
Developing and iterating on embedding models for advertising use cases, from aggregation pipelines to sequence models.
Building data processing and inference pipelines and evaluating features through end-to-end experimentation.
Ensuring reliability and scalability of ML systems by writing tests, monitoring, and reviewing code.
Reddit is a platform of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the largest sources of information on the internet.
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.
Build, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics products.
Design validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers.
Use modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgment.
BlueConduit is an infrastructure analytics SaaS company and social enterprise that helps communities make better decisions about critical water infrastructure. We are a small, remote-first team committed to using data science for social good and building trusted tools for high-stakes infrastructure decisions.
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.
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.
Develop data-driven solutions that power delivery planning, operational efficiency, and customer promise accuracy across multiple markets.
Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle from research to production.
Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve delivery operations.
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies, with over 500 beer brands. The BEES AI organization drives data science and machine learning strategy across logistics, operations, and customer-facing products, building end-to-end intelligent systems that optimize how goods move through our network at global scale.
Run end-to-end forecasting analyses on real business problems, from data preparation through modelling to actionable recommendations.
Build and evaluate time series and machine learning models, validating them through rigorous testing.
Write clean code, participate in code reviews, and take ownership of tasks from estimation to delivery.
InPost Group is an innovative European out of home deliveries company revolutionizing parcel delivery through intelligent lockers. It is a publicly traded company with a market capitalization of about $5 billion and over 10,000 employees worldwide, committed to sustainable and efficient delivery solutions.
Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
Guide research and experimentation, balancing long-term innovation with near-term business impact.
Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.
Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.
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.
Design and develop machine learning solutions ensuring accuracy, performance, security, and scalability
Implement and maintain end-to-end AI/ML pipelines from data ingestion to deployment
Collaborate across planning, design, and code review to raise overall code quality
We shape the future of communications from remote-first environments. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide, with a strong culture of connection and inclusion.
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.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and millions of daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.
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 unique visitors, Reddit is one of the internet's largest sources of information.
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.
Collaborate with customers and internal stakeholders to discover critical insights and build end-to-end data science solutions.
Take ownership of data science projects from problem definition to actionable deliverables and generalize insights into core products.
Partner with cross-functional teams to translate complex analyses into immediate customer value.
Shift5 builds the data platform for onboard operational technology (OT), delivering cybersecurity, predictive maintenance, and compliance for defense and commercial fleets. They are a fast-growing startup committed to building an inclusive culture and empowering employees to bring their full selves to work.