Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.
Drive product and business impact through statistical modeling, experiment design, and Bayesian marketing analysis across our search engine and AI products.
Build monitoring pipelines and evaluation datasets to detect traffic pattern shifts and improve AI-assisted answers in a privacy-first environment.
Collaborate with product teams to design and analyze experiments, deriving insights from sparse, privacy-constrained data.
DuckDuckGo is an online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, we offer a culture of trust, inclusivity, and empowered project management where each team member takes full ownership of their projects.
Lead statistical and machine learning solutions for high-impact business decisions.
Own complex problems end-to-end, from framing to production deployment.
Partner with product, engineering, and business leaders to shape strategy.
Super.com is a fast-paced, high-growth tech company that helps maximize lives for both customers and employees. They prioritize learning, impact, and career progression for their team.
Design, develop, and deploy machine learning and statistical models for forecasting and risk assessment.
Use experimentation and statistical methods to test product changes and improve customer experience.
Analyze large datasets to identify signals, engineer features, and inform model design.
Pipe is a financial technology company that provides a platform for businesses to access capital. It is a fully remote company with a culture of authenticity, humility, and excellence.
Design and deploy forecasting models on GCP using Vertex AI and BigQuery ML.
Build AI agents for forecasting and quotation workflows using LangChain and Vertex AI Agents.
Develop production ML pipelines and implement MLOps best practices with model monitoring.
Quantiphi is an AI-first global digital engineering company that helps Fortune 1000 organizations transform ideas into measurable business impact. Headquartered in Boston with over 4,000 professionals worldwide, it is certified as a Great Place to Work and fosters a culture of transparency, diversity, learning, and growth.
Use scientific research methods, statistics, machine learning, causal inference, and AI to study business and deploy analytical solutions.
Develop close stakeholder relationships, solve business problems, and educate stakeholders on analytics, AI/ML processes.
Mine data systems, clean and structure data, develop pipelines, and partner with Data Engineering to put models into production.
Gilbane is a Top-10 ENR Contractor, a family-owned construction management firm with 45 offices, shaping communities since 1870. They are committed to delivering projects safely and on-time, and foster a diverse, inclusive workplace.
Define clear business-value metrics alongside technical performance targets for engagements.
Lead technical scoping, feasibility assessments, and solution design for proposals and client pitches.
Design scalable, end-to-end ML pipelines spanning data analysis, model training, deployment, and MLOps.
Lovelytics helps complex enterprises modernize their data and put AI to work in production. It has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
Develop predictive forecasting models and pipeline analytics to improve revenue forecasting and operational visibility.
Partner with Revenue Operations, Finance, and Data Engineering teams to enhance data-driven decision making and AI readiness.
Build scalable dashboards, models, and analytical frameworks to support sales productivity, customer insights, and churn analysis.
We are a global leader in Network as a Service (NaaS), transforming how businesses connect to cloud, data centers, and each other. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture.
Evaluate LLM responses for accuracy, clarity, and completeness.
Fact-check technical claims using authoritative references.
Validate code and outputs, and annotate model performance.
Prolific builds the largest pool of high-quality human data for AI development, serving over 35,000 AI developers, researchers, and organizations. They connect researchers with a global community to collect ethically sourced behavioral data.
Drive causal inference and experimentation to prove what actually works in fundraising, moving beyond correlation.
Build predictive and forecasting models for donor behavior, retention, and lifetime value, ensuring calibration and honest uncertainty.
Own the ML lifecycle on Databricks and MLflow, from training and deployment to monitoring and drift detection.
Bloomerang provides a powerful giving platform that enables tens of thousands of nonprofits to raise more, recruit more, and retain more. The company fosters a mission-driven culture built on core values of Simplify, Care, and Act, with a team of innovative and skilled individuals.
Builds and maintains feature pipelines, training datasets, and forecast workflows for revenue, demand, and operational planning.
Operationalizes forecasting and ML models through repeatable training, evaluation, deployment, and monitoring in Databricks.
Implements model performance tracking, drift monitoring, and traceability from source data to prediction output.
Sonny's Enterprises is the world's largest manufacturer of conveyorized car wash equipment, parts, and supplies. The company is the industry leader with a culture focused on innovation and growing its people.
Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models and LLM reasoning.
Build predictive and prescriptive models for churn risk, growth, adoption, and account health scoring.
Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, now uniting human teams with AI agents. With over 20 years of experience, they foster a culture of innovation and collaboration.
Lead cross-functional teams to drive revenue initiatives through data-driven recommendations.
Own and identify innovative strategies to maximize revenue and enhance client acquisition.
Improve quantitative analysis techniques and data infrastructure to uncover revenue opportunities.
Extend provides AI-driven solutions for retailers to enhance post-purchase experience, including automated customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners across various industries and is backed by prominent technology investors.
Develop, deploy, and maintain machine learning models in production environments using AWS SageMaker or similar platforms.
Perform exploratory data analysis, feature engineering, and build data pipelines to support scalable ML workflows.
Monitor production models, address performance issues, and collaborate with engineering and business stakeholders to deliver data-driven solutions.
Google is a global technology company that develops products and services to organize information and make it universally accessible and useful. The company is a large multinational with a culture focused on innovation, collaboration, and data-driven decision-making.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable ROAS.
Build buying models that maintain positive ROAS and quality while improving lead quality across the portfolio.
Establish trusted, direct partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. They are a profitable, bootstrapped company with a remote-first team across 18 countries, emphasizing impact and ownership.
Build, evaluate, and maintain underwriting and decisioning models that determine customer approvals and terms.
Design and run experiments to evaluate model performance and measure impact on approval rates and loss.
Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure systems reflect business goals and regulatory expectations.
FloatMe is a fintech company that builds underwriting and decisioning systems to determine customer approvals and terms. It operates as a fast-moving, high-standard team focused on rigorous ML work.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.
DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.
Partner with business leaders to identify opportunities and develop analytical strategies.
Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
Translate complex data findings into clear business recommendations and drive experimentation.
This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.