Vercel12 дней назад

Staff Applied Scientist, Financial Forecasting

20 833–27 500 ₽в месяц · до вычета

РЫНОК

16 333 ₽медиана по профессии

Data Scientist · 213 вакансий с указанной зарплатой

5 000половина предложений: 13 167–22 000123 000

В рынке · выше 73% предложений

Hybrid - San Francisco

Обязанности

01Architect and own Vercel's end-to-end consumption forecasting ML systems across compute, bandwidth, edge functions, storage, and emerging products
02Design and productionize advanced ML approaches for time-series forecasting (deep learning-based forecasting, probabilistic/Bayesian methods, hierarchical and hybrid statistical-ML architectures)
03Develop multi-horizon forecasting systems, from operational to quarterly to long-range planning, including hierarchical architectures that reconcile predictions across account, cohort, segment, and global aggregate levels
04Build the ML infrastructure and tooling for backtesting, monitoring, drift detection, and forecast explainability
05Develop scenario simulation and causal inference frameworks to evaluate pricing changes, packaging adjustments, and product launches before they ship
06Partner directly with Finance leadership on board-level reporting and revenue planning, and with Infrastructure Engineering on capacity planning and cost optimization
07Work with Product and GTM teams to model adoption curves, expansion dynamics, and usage drivers using advanced causal and predictive techniques
08Set technical standards for ML methodology, experimentation, and measurement across the Data organization, and mentor senior data scientists and ML engineers

018+ years of experience in machine learning, data science, or applied statistics, with a track record of operating at a staff or principal level
02Deep, hands-on expertise in advanced time-series forecasting and ML modeling techniques (deep learning architectures for forecasting, Bayesian/probabilistic modeling, hierarchical reconciliation)
03Proven experience architecting and productionizing ML systems at scale, including the infrastructure for training, serving, monitoring, and retraining models in production
04Strong Python and SQL proficiency, with deep experience on large-scale usage and billing datasets
05Strong grounding in causal inference and experimentation design
06Experience setting technical direction and partnering closely with Finance or executive leadership on planning cycles
07Ability to translate advanced ML concepts into decision-ready insights for non-technical audiences
08A track record of technical leadership: setting standards, mentoring senior ICs, and influencing how an organization approaches ML and forecasting
09Comfortable defining ambiguous, high-stakes problems from scratch and operating autonomously in a fast-moving environment
10Experience in cloud infrastructure, developer tools, or consumption-based revenue models

01Competitive compensation package, including equity
02Inclusive Healthcare Package
03Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
04Flexible Time Off
05We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed
06The San Francisco, CA base pay range for this role is $250,000 - $330,000
07Actual salary will be based on job-related skills, experience, and location
08Compensation outside of San Francisco may be adjusted based on employee location
09The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role