Lead machine learning models that forecast advertiser outcomes and simulate campaign scenarios.
Estimate delivery, reach, and performance under different budgets, bids, audiences, and creative choices.
Own technical direction, evaluation standards, and production ML capabilities across advertiser planning.
Reddit is a community of communities built on shared interests, passion, and trust, and is home to some of the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Build and optimize time series forecasting models for weather, energy market prices, and electricity grid supply and demand.
Translate analytical models into robust, production-ready code that powers a live energy trading platform.
Collaborate in a fully remote team using Python, SQL, and modern AI-powered coding tools to drive data-informed trading decisions.
The company operates a live energy trading platform powered by advanced forecasting solutions. It fosters a fully remote, distributed culture that values quantitative expertise, technical excellence, and practical problem-solving.
Own and maintain statistical forecasting processes and tools to ensure accurate, actionable demand plans.
Partner with sales, finance, inventory, and operations teams to align forecasts and resolve discrepancies.
Build and improve Power BI dashboards and use Excel, Python, and ERP systems to enhance decision-making.
This role is posted on behalf of a partner company seeking an S&OP Demand Manager to lead forecasting in a complex supply chain environment. The organization values safety, teamwork, customer success, continuous growth, and innovation.
Own the MAU forecast and growth model that guides leadership planning.
Set the standard for experimentation and causal inference across the data team.
Scale advanced analytics through AI and mentor senior data scientists.
Life360 provides a mobile app and tracking devices that help families stay connected and safe. With 100+ million users and a remote-first team of over 500, the culture emphasizes integrity, directness, and high impact.
Partner with Sales, RevOps, and Finance to deliver insights for GTM strategy.
Build and productionize ML models like propensity, churn, and expansion using MLOps.
Run experiments and design agentic workflows to drive adoption and growth.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations ship better software faster. With over 50 million users and a remote-first culture, GitLab values innovation, AI adoption, and inclusivity.
Own the outcome from ambiguous customer problem to measurable impact, including building data when it doesn't exist and shipping models into real products.
Make the value legible by ensuring predictions are understandable, trustworthy, and actionable, and report realised impact back to the business.
Deliver end-to-end by operating deployment, testing, versioning, monitoring, and drift detection, and embed with product teams to put ML inside real workflows.
WorkWave provides AI-driven operational intelligence products that help businesses make better decisions and run their operations more efficiently. We foster a flexible, collaborative, and impact-driven culture focused on trust, inclusion, and delivering measurable customer outcomes.
Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
Mentor data scientists and drive best practices for advanced analytics and ML development.
Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.
Lead corporate demand forecasting for neffy, including scenario analysis and variance tracking.
Drive commercial assessments for lifecycle opportunities and pipeline assets, supporting strategic decisions.
Oversee market insights and competitive intelligence functions, aligning research with leadership needs.
ARS Pharmaceuticals is a fast-growing, innovative company dedicated to transforming the treatment of severe allergic reactions with neffy, the first and only FDA-approved needle-free epinephrine product. The company fosters a collaborative, entrepreneurial, and inclusive culture, operating as a focused biotechnology organization.
Lead end-to-end demand forecasting, scenario modeling, and capacity alignment across the logistics network.
Mature and govern S&OP processes, reconciling unconstrained demand with constrained supply for executive decision-making.
Drive planning data discipline, advanced analytics, and cross-functional partnerships to ensure patient availability and operational efficiency.
Beacon Biosignals is transforming precision medicine for the brain by offering at-home EEG and cardiopulmonary platforms for clinical development and diagnostics. The company emphasizes a remote-first culture with robust asynchronous work practices, in-person hubs in Boston, New York, and Paris, and values curiosity, simplicity, and empathy.
Develop and commercialize advanced machine learning models for Women's Health features, focusing on time-series analysis and robust validation.
Lead complex projects and collaborate with cross-functional teams including scientists, product managers, and engineers.
Design rigorous statistical analyses for model performance and conduct exploratory research to translate ideas into scalable products.
Oura is a health technology company that creates the Oura Ring and connected app to help people gain deeper knowledge of their readiness, activity, and sleep quality. It is a quickly growing company focused on improving employee health and empowering its team to live healthier lives.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Lead end-to-end inventory planning, including demand forecasting, replenishment, and allocation across the fulfillment network.
Optimize inventory investments to improve availability, turnover, and profitability while partnering with key stakeholders.
Own inventory KPIs, systems strategy, and talent development to drive operational efficiency and growth.
SupplyHouse.com is an e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004. The company fosters a people-first culture guided by Generosity, Respect, Innovation, Teamwork, and GRIT, with a supportive environment for all team members.
Lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, defining key metrics and driving product strategy.
Design and analyze A/B tests and causal inference experiments, applying machine learning methods to deliver actionable insights.
Dig into complex datasets, translate findings into clear narratives and dashboards, and provide technical guidance to junior team members.
Houzz is the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners. It is a community-centric, innovative tech company with a mission-driven culture focused on making home renovation and design more productive for everyone.
Measure the impact of customer engagements on pipeline, renewals, and predictive model performance.
Run before-and-after and holdout-style analyses to separate real effects from noise.
Build dashboards and value analyses for customers, leadership, and Customer Success.
6sense is an intelligence platform for agentic go-to-market, turning one trillion signals into AI-powered buying insights for B2B teams. The company fosters a growth mindset culture focused on employee well-being, belonging, and continuous learning.
Set technical vision and strategy for foundational model and user understanding roadmap.
Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Own the company-wide Corporate FP&A model, including long-range planning, annual planning, monthly forecasting, and consolidated P&L, Balance Sheet, and Cash Flow forecasting.
Lead executive and Board reporting, delivering clear, decision-ready materials and building KPI and reporting architectures that leadership and investors rely on.
Partner with Finance, business leaders, and the executive team to translate operating performance into financial insights and build a high-performing FP&A team.
Grafana Labs is the company behind Grafana Cloud, an observability platform trusted by more than 10,000 organizations. We are a 100% remote company with team members across 40+ countries, backed by leading investors and driven by an open-source, collaborative culture.
Design, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models.
Build and validate price-demand elasticity models and predictive models using Machine Learning, statistics, and econometrics.
Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers to translate business challenges into data-driven solutions.
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
Design and extend method templates for residence location inference from MNO data.
Support technical conversations with operators and write clear specifications for their engineers.
Run workshops, adapt methods to data constraints, and build internal training materials.
GiveDirectly fights poverty by giving cash directly to people in need, trusting them to decide what they need. With over $1B delivered to 2+ million people and a team spanning 20+ countries, the culture is candid, analytical, and non-hierarchical.