Senior Software Engineer II, Machine Learning

September 3

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Narvar

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eCommerce • SaaS • Retail

Narvar is a company that specializes in creating intelligent post-purchase experiences for ecommerce businesses. Their platform provides a range of services to enhance customer engagement and retention, from setting clear delivery expectations and proactive multi-channel messaging to seamless returns and exchanges. Narvar's solutions are designed to build loyalty by personalizing the consumer journey and optimizing reverse logistics, ultimately converting and retaining customers while increasing revenue and reducing costs. The company boasts a powerful network and integrations with popular platforms like Shopify, Zendesk, and Salesforce, and supports over 2,000 retailers globally. Narvar's services cater to a variety of industries including apparel, electronics, and beauty, providing exceptional post-purchase experiences through actionable insights and data-driven interactions across their ecosystem.

201 - 500 employees

Founded 2012

🛍️ eCommerce

☁️ SaaS

🛒 Retail

💰 $30M Series C on 2018-08

📋 Description

• Design and deploy machine learning algorithms for e-commerce, consumer trends, markets, logistics, and new products • Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc • Work with large unstructured data • Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users • Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies used by the team • Provide thought leadership through high quality write-ups, reviews, and a strong vision grounded in practical experience

🎯 Requirements

• Strong machine learning skills. • Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages • Data Engineering skills and large data experience (TB) in production; built data pipelines using tools e.g. Spark • 10+ years of hands-on experience shipping models to production across problem spaces (user modeling, spam classification, prediction, clustering, etc) • MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience • Strong software engineering and coding skills with the ability to write production quality code • Strong understanding of probability & statistics, machine learning, and algorithms • Experience with SQL and NoSQL databases • Experience working with Linux, shell scripting • Previous startup experience strongly preferred

🏖️ Benefits

• annual bonus • equity • benefits • Celebrate professional wins, baby showers, birthday parties, and everything in between.