Job Url: https://www.remoterocketship.com/company/swayable/jobs/senior-python-engineer-ai-and-scientific-computing-united-states

Job Description: 
Swayable
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Swayable is a leading pre-market testing platform that helps brands, agencies, and campaigns enhance their marketing strategies through data-driven insights. By utilizing advanced statistical methods, including randomized controlled trials, Swayable provides robust data on messaging persuasion, measuring factors such as brand lift, purchase intent, and audience segmentation. 

Trusted by top brands like Airbnb, Paramount, and Amazon, Swayable enables users to test various media forms, including videos, packaging, and campaign messaging, providing actionable insights within 24 hours. Co-founded by PhDs James Slezak and Valerie Coffman, the company focuses on transforming marketing strategies by unlocking the power of persuasion through data science. 

research • marketing • creativetesting


51 - 200 employees

☁️ SaaS

💰 Seed Round on 2019-04

Senior Python Engineer - AI and Scientific Computing
March 14

🏄 California – Remote


🗽 New York – Remote


💵 $150k - $220k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

Cloud

Flask

GraphQL

JavaScript

Linux

MongoDB

Node.js

Numpy

Pandas

Python

Scikit-Learn

Vue.js

Apply Now


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📋 Description
•Swayable is a fast-growing cloud data product that doubles the impact of advertising by empirically measuring how it changes people's opinions.
•This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup.
•You will be responsible for building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing.
•You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.

🎯 Requirements
•You have 5+ years of professional experience building scientific or quantitative data-intensive software.
•You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
•You have excellent problem solving skills and attention to detail.
•You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
•You keep up with the constantly evolving toolset for ML and AI Ops.
•You are knowledgeable about software architecture and can design scalable, performant solutions.
•You value code quality and write maintainable, testable code.

Apply Now