HyphaMetrics

About Hypha Metrics Hypha Metrics is redefining how media data is measured, connected, and understood. Our platform provides the foundational infrastructure that powers audience insights for the modern media ecosystem. We help clients make smarter decisions by transforming fragmented data into unified, actionable intelligence. Role summary Design and deliver rigorous, scalable measurement solutions that uncover true media impact and drive media investment decisions. This role combines causal inference, experimentation, statistical modeling, and production data engineering to measure incrementality, optimize media mix and inform campaign strategy across digital and offline channels. Key responsibilities - Design and analyze randomized and quasi-experimental tests (holdouts, geo-tests, RCTs) to measure advertising incrementality and lift. - Build and maintain causal models (difference-in-differences, synthetic controls, hierarchical Bayesian, uplift modeling) and marketing mix models (MMM) for multi-channel attribution. - Develop and productionize scalable end-to-end pipelines for event-level ad exposure, conversions, and offline-sales ingestion (ETL/ELT, validation, monitoring). - Work with data engineering to keep measurement datasets clean, deduplicated (identity resolution), and privacy-compliant. - Own feature engineering, model training, validation, and deployment in Python/R and cloud environments (BigQuery, Snowflake, Dataproc/AWS/GCP). - Produce clear, actionable dashboards and executive-ready insights for product, media, and client teams; present findings to stakeholders. - Implement automated reporting and CI/CD for model retraining and performance monitoring; establish measurement governance and documentation. - Stay current on the ad-tech/measurement ecosystem (ATtribution frameworks, walled gardens, ID solutions) and recommend measurement strategy changes. Required qualifications - 3+ years experience building statistical or ML models in ad-tech, marketing analytics, agency measurement, or a related data science role. - Strong statistics/causal inference fundamentals: experimental design, hypothesis testing, regression, hierarchical models. - Proficient in Python (pandas, scikit-learn, PyMC/Stan or equivalent) and SQL; experience with R is a plus. - Hands-on experience with event-level ad/exposure and conversion data, logs from ad servers/DSPs, or retail/point-of-sale integration. - Experience working with cloud data warehouses (BigQuery, Snowflake, Redshift) and ETL tooling (Airflow, dbt, Kafka). - Excellent written and verbal communication; proven ability to translate technical results to non-technical stakeholders. Preferred qualifications - Experience with incrementality platforms or approaches (e.g., Measured, experimentation platforms, proprietary lift frameworks). - Familiarity with marketing mix modeling (time-series, regularized regression, Bayesian MMM). - Experience with causal ML / uplift modeling and Bayesian inference tools (PyMC3/4, Stan). - Knowledge of identity resolution, privacy-preserving measurement (privacy regulation awareness, cohort-based measurement, differential privacy concepts). - Experience deploying models to production (Docker, CI/CD, MLOps patterns) and instrumenting model monitoring. - Background working with brand/performance media, cross-channel measurement, and agency/client workflows. KPIs / success metrics - Number of incrementality tests designed, executed, and turned into action. - Accuracy and explainability of models (e.g., holdout prediction error, calibration). - Time-to-insight (from data ingestion to stakeholder-ready report). - Business impact (measured media savings or ROI improvements attributable to recommendations). - Adoption rate of measurement outputs by media planners/clients. Nice-to-have (company fit & soft skills) - Proven consultative experience with clients or internal stakeholders. - Comfort operating in ambiguous environments and balancing speed vs. statistical rigor. - Ability to mentor junior data scientists and evangelize measurement best practices across teams.

*this is a contract -2-3 month to FTE opportunity* About Hypha Metrics Hypha Metrics is redefining how media data is measured, connected, and understood. Our platform provides the foundational infrastructure that powers audience insights for the modern media ecosystem. We help clients make smarter decisions by transforming fragmented data into unified, actionable intelligence. We’re looking for a Product Commercialization Lead who will bridge the gap between product, sales, and marketing—ensuring our platform evolves in lockstep with client needs and market opportunities. Role Overview The Product Commercialization Lead will play a pivotal role in aligning product strategy with market demand. This person will collaborate closely with clients, product managers, and commercial teams to translate insights into actionable product direction, support sales enablement, and drive go-to-market readiness for new capabilities. Key Responsibilities Market & Product Alignment - Engage with clients and prospects to identify needs, gaps, and emerging opportunities - Translate client requirements into product specifications and enhancement requests - Develop use cases and playbooks demonstrating Hypha’s value in real-world applications - Partner with sales and account teams to prepare materials, insights, and analyses that showcase product impact - Act as a key voice shaping product roadmap decisions based on market trends and competitive intelligence - Ensure commercial strategy and product development remain synchronized across planning cycles Data & Insights Support for Commercial Use - Dive deeply into Hypha panel data to uncover insights and narratives for sales and marketing applications - Build custom analyses for strategic client pitches and partnerships - Collaborate with marketing to create thought leadership and category insights - Translate complex data into clear, compelling product narratives and proof points Cross-Team Leadership - Serve as the commercial voice within the product organization - Partner closely with product managers, data scientists, and engineers to inform development priorities - Communicate product roadmap updates and upcoming releases to commercial stakeholders in a clear, actionable format Qualifications Experience & Background - 5+ years in product strategy, solutions consulting, sales engineering, or product marketing - Background in analytics, media measurement, ad tech, or a related data-driven industry - Proven ability to translate market feedback into product direction - Track record of success collaborating across product and commercial teams in a fast-paced environment - Familiarity with audience measurement, consumer behavior analysis, or media research Skills & Capabilities - Strong communicator with ability to explain technical concepts to non-technical audiences - Exceptional analytical thinker with ability to distill patterns and insights from complex feedback - Skilled in client engagement and solution shaping - Proficient in analyzing large structured datasets and developing insight-rich summaries - Strong prioritization and decision-making skills aligned with product roadmap management - Working knowledge of SQL, Python, or other data tools (or demonstrated ability to learn quickly) - Deep curiosity about media ecosystems—streaming, television, and digital Why Hypha Metrics - Opportunity to shape the commercialization strategy of a pioneering media data platform - Collaborative, cross-functional culture grounded in innovation and transparency