Faire is a technology wholesale platform aimed at empowering independent retailers through the use of machine learning and data insights. The Data Science Intern will design and develop machine learning algorithms and analytical solutions to enhance the company's marketplace functionalities.
Responsibilities
Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs
Qualification
Required
Currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline
Preferred
Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
Experience working with large-scale or production datasets
Benefits
Our internships are paid, 12 6 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process.
Faire is a wholesale technology platform empowering brands and retailers to strengthen the unique character of local communities.
