Data Scientist

Job Description

Honey is a fast-growing startup based in Los Angeles. Our online shopping platform offers users a smarter way to shop. Through a simple browser extension, we open up instant access to exclusive savings, deals, rewards and discovery, all powered by the collective knowledge of Honey’s community of online shoppers. We are helping millions save when they shop online, and we're hiring! We are actively seeking a Data Scientist to join the Engineering Team in our Los Angeles office.

About the Team:

As a Data Scientist at Honey you can expect to work with other data scientists, data engineers, and product managers to enhance existing product features and build new ones. You'll be able to work with these teams all while pitching your ideas for projects and determining your own approach and preferred tools.

About the Role:

As a Data Scientist, you'll take ownership of a complete project area and develop an end to end solution that is deployed into our production system. Some of the projects currently being worked on include, enhancing product catalog with text and image-based classification, building recommendation systems for products and stores, and enhancing search.

What you'll do:

• Prototype and release underwriting models that will support Honey's lending product Honey Pay.
• Participate in the full data science workflow - starting from raw data that needs to be cleaned and analyzed, to releasing robust and stable models in production.
• Perform ad-hoc analyses to answer product questions and to drive feature engineering efforts
• Solve real business problems using data science, with a focus on outcomes and business impact.

Skills you have:

• Solid understanding of statistical and machine learning models, including assumptions and limitations.
• Experience with data science workflow, from data cleaning and EDA, to feature engineering and model building, on real-world business datasets.
• Experience with Python, including Python's machine learning ecosystem
• You are curious and constantly asking questions and wanting to learn new things
• Experience with feature engineering to drive modeling improvements
• Experience with cloud technologies (Google Cloud Platform, AWS) and working with large scale data in the cloud
• Experience or interest in bringing models into production using DataFlow and Google AI Platform
• Excited to work with huge datasets of shopping data as well as small datasets of lending performance data
• Interested in algorithmic bias and fairness considerations when building ML models

At Honey, we are committed to building a diverse and inclusive company. We seek to create a culture where everyone can belong because we believe that people do their best work when they can show up every day as their authentic selves. We welcome people of different backgrounds, experiences, abilities, and perspectives.

Honey is an equal opportunity employer. We do not make hiring or employment decisions on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.