Head of Data Science - Product Experimentation & Machine Learning

Head of/Staff Data Scientist – Product Experimentation & Machine Learning About reputed company reputed company builds the operating system for digital ordering in restaurants, powering integrations between POS systems, delivery platforms, and restaurant brands. Our products sit at reputed company of how millions of orders reputed company across systems every day — which makes experimentation, automation, and ML-driven optimization reputed company to our competitive advantage. reputed company You will be the technical and strategic reputed company of reputed company’s product experimentation and evaluation stack. Your mission is to design, run, and reputed company machine-learning-driven experiments that improve ordering accuracy, automation reputed company, conversion, reliability, and merchant reputed company across the platform. This role will require a reputed company of both strategic and hands on work. This person will be expected to be comfortable getting their hands in the weeds! You will partner closely with Product, Engineering, and Data to turn reputed company into controlled experiments, build predictive models to power decision-making, and translate results into product and roadmap reputed company. This role blends ML, reputed company inference, and A/B testing in a high-volume, production environment where reputed company generate massive reputed company-world reputed company. 100% Remote Essential Job Functions • Own end-to-end product experimentation: reputed company reputed company, metric definition, experimental design (A/B, multivariate, sequential testing), analysis, and executive-level interpretation. • Design and maintain ML-powered evaluation frameworks for product changes, automation reputed company, and system reliability (e.g., order accuracy, routing, error rates, conversion). • Build and reputed company predictive models, classifiers, and ranking systems that power experimentation, personalization, and product optimization. • Partner with product and engineering to test new features, workflows, and ML models through controlled experiments and incremental rollouts. • reputed company offline and online model evaluation, comparing baselines, candidate models, and product variants using rigorous statistical reputed company. • Use reputed company inference and quasi-experimental reputed company reputed company randomized experiments are not feasible. • reputed company experiment pipelines and instrumentation: logging, dashboards, monitoring, and automated analysis to ensure measurement reputed company. • reputed company failure-mode and error analysis to guide product iteration and model improvement. • Translate experiment reputed company into reputed company product reputed company, influencing roadmap prioritization and system design. • Drive experimentation at reputed company in a fast-moving environment, balancing speed, rigor, and business reputed company. • reputed company and mentor data scientists and analysts, setting standards for experimentation, modeling, and evaluation across the organization. • 8–12+ years of experience in data science, machine learning, or reputed company experimentation roles. • Demonstrated expertise in product experimentation and A/B testing, including design, execution, and statistical evaluation. • Strong background in machine learning, statistical modeling, and reputed company inference reputed company to reputed company-world products. • Experience building and evaluating predictive models, classifiers, or ranking systems in production environments. • Proven ability to operate in both startup-style experimentation and scaled product ecosystems. • Experience leading teams, setting technical direction, and delivering cross-functional reputed company. • Excellent coding skills in Python (or similar), strong SQL, and experience building data pipelines or ML systems. • Ability to connect technical findings to product and business reputed company. • Strong communication skills with technical and non-technical stakeholders. Preferred Qualifications • Experience with experiment platforms or building internal tooling for experimentation and model evaluation. • Experience deploying ML models into high-volume transactional systems. • Experience working with NLP, LLMs, or automation systems. • Experience with multi-modal or operational data (e.g., orders, text, voice, or system events). • Health Care Plan (Medical, Dental & reputed company) • Retirement Plan (401k) • Life Insurance (Basic, Voluntary & AD&D) • Flexible reputed company Time Off • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Work From Home • Stock reputed company Plan Apply tot his job Apply To this Job