Aartificial intelligence, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow
Forbes believes in the power of entrepreneurial capitalism and uses it on various platforms to ignite the conversations that drive systemic change in business, culture and society. We celebrate success and are committed to using our megaphone to drive diversity, equity and inclusion.
Forbes is hiring a Sr. Data Engineer within our Data Engineering team. At Forbes, data is at the heart of all of our business decisions. The ideal candidate will join a growing team whose charge is to ensure timely, accurate, and exhaustive data stewardship that empowers our entire organization. The ideal candidate is proactive, thorough, curious, and works to continuously evolve our class-leading platform.
Our team is looking for an engineer to help support the data science team in productionalizing machine learning models. Models in production or late stage development include user lookalike modeling, article NLP, forecasting and are used widely throughout the business to drive revenue especially within our first party data platform, ForbesOne, and provide KPIs across the business. This position is fully remote.
What You'll Do:
What You'll Bring:
The annual base salary range for this role is $130,000 - $130,000
Forbes aims to offer employees the flexibility they need in order to be successful. We offer a hybrid work schedule for our employees. Some roles may be fully remote (within the U.S.) if it aligns with the needs of the position
Forbes is an equal opportunity employer.
Forbes Media is a global media and publishing company known for its flagship publication, Forbes magazine. Forbes magazine is renowned for its coverage of business, finance, investing, entrepreneurship, and other related topics. Forbes is widely recognized for its annual lists, such as the Forbes 400 list of the wealthiest individuals in the United States and the Forbes Global 2000 list of the world's largest public companies.