Data Scientist

About The Role

As a key member of our team, your primary responsibility is to become a domain expert in evaluating recommender systems. This role demands a blend of data science expertise, technical prowess, and effective communication skills. Additionally, you will collaborate with the Rubber Ducky Labs team to develop tools that streamline the analysis of recommender systems.

Requirements

Example Job Responsibilities Include

Collaborating with executives and machine learning engineers to design comprehensive metrics for evaluating online recommender systems.

Utilizing clustering and segmentation techniques to categorize users within a recommender system.

Actively engaging with the Rubber Ducky Labs product, providing valuable feedback to enhance its performance.

Conducting internal tech talks and crafting documentation to educate teammates on recommender systems concepts.

Directly interfacing with customers to gather insights and address their needs.

Our Tech Stack

Frontend: React, Typescript, Mantine, Chart.js

Backend: Python, Fast API, SQLAlchemy, Postgres

Infrastructure: Docker, AWS

Data Analysis: Python, Jupyter Notebooks, pandas, scikit-learn

Minimum Requirements

2+ years of industry experience in a data science or data analyst role

Prior experience in evaluating production recommender systems, search engines, or information retrieval systems

Ability to navigate ambiguous requirements and derive actionable insights

Proficiency in SQL and willingness to explore new databases and data analytics systems

Sound knowledge of machine learning, data science, statistics, and data visualization

Strong communication skills and a growth mindset

Preferred Qualifications

Experience engaging directly with executive-level stakeholders

Track record of sharing work and knowledge through platforms like blog posts, meetups, or conference talks

Benefits

Competitive salary + substantial equity for founding engineers

Comprehensive health benefits package (medical, dental, vision)

Flexible work-from-home policy, with the option to work remotely up to 3 days a week

Please note that visa sponsorship is not available for this position.

Permanent