Data Scientist
🏢 Momenti, Inc · 📍 200 Varick St #802, New York, NY 10014 · 💼 onsite · ⏰ Technology 💰 $110,000 - $175,000 / yr
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Position Summary & Responsibilities
Company Intro:
Our world is immersive and visceral. Content today is static and boring. We are Momenti, video that you interact with, bringing visceral experiences to all content. Build deeper connections and emotions with multi-dimensional video, and bring life to content by breaking the 4th wall. Join the content revolution! The world is alive, and so should your captured moments. Momenti is here.
Momenti is a startup with technologies for creating and playing Gesture Interactive Video (GIV) that responds to user gestures. We are developing service software that enables content creation, editing, and playback based on our unique media model and providing these services to users worldwide. We are also developing data analysis technologies to analyze and visualize user gestures to improve the quality and service of media content (you can experience the technology demo on our website https://momenti.tv ).
We aim to collect, analyze, and visualize gesture interaction data generated by users worldwide in real time and derive insights to improve the content usage experience based on this data. We are building a data pipeline, operating data storage, and improving query efficiency to convert data into value and deliver it with Momenti. We are looking for engineers who can participate with us.
Qualifications:
Major (Education)BS, MS in Computer Science, Statistics, Mathematics, or a related field (Must have)Ph.D in a related field (Preferred)
Engineering Skills (Must have):
Proficient in programming languages such as Python or R for data analysis and modeling.
Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Experience with data visualization tool
🎯 Candidate Preparation Guide
For Momenti, Inc Applicants
Key Role Competencies & Evaluation Highlights
Key Role Focus:
Assesses early-stage entrepreneurial grit, ambiguous problem-solving, and the ability to rapidly build, test, and iterate on core product offerings.
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