Spoon
51 - 200 employees
Founded 2019
👥 HR Tech
🎯 Recruiter
🛍️ eCommerce
HR Tech • Recruitment • eCommerce
Spoon is a recruitment agency that specializes in connecting businesses with top remote talent from Latin America and the Philippines. The company streamlines the hiring process for various roles, including tech, healthcare, finance, and customer service, while helping organizations save on costs associated with domestic hiring. Spoon manages every aspect of recruitment from candidate sourcing to onboarding, ensuring that businesses can scale efficiently without compromising on quality.
Marketing Data Scientist
Job not on LinkedIn
🕒 May 27
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Spoon
51 - 200 employees
Founded 2019
👥 HR Tech
🎯 Recruiter
🛍️ eCommerce
HR Tech • Recruitment • eCommerce
Spoon is a recruitment agency that specializes in connecting businesses with top remote talent from Latin America and the Philippines. The company streamlines the hiring process for various roles, including tech, healthcare, finance, and customer service, while helping organizations save on costs associated with domestic hiring. Spoon manages every aspect of recruitment from candidate sourcing to onboarding, ensuring that businesses can scale efficiently without compromising on quality.
📋 Description
• Develop and maintain marketing ROI and analytics models • Analyze marketing and sales data to measure channel performance and advertising effectiveness • Partner with business stakeholders to address questions, review model outputs, and identify key business drivers behind marketing performance results • Work with Bayesian and linear models to evaluate marketing contribution and ROI • Support and improve Streamlit-based applications used for reporting and visualization • Build scalable Python-based data workflows and analytical tools • Export and manage reporting outputs using Excel and related formats • Collaborate with engineering and cross-functional teams to improve code quality and maintainability • Work within AWS environments including S3 and EC2 • Monitor applications and workflows using DataDog
🎯 Requirements
• Strong Python programming experience • Experience with: • - Pandas • - NumPy • - PyTest • - Streamlit • - Experience working with time series data • - Understanding of statistical modeling techniques including Bayesian and linear models • - Knowledge of software engineering best practices • - Experience with AWS services such as S3 and EC2 • ****Nice to Have**** • - Experience with Marketing Mix Modeling (MMM) • - Experience in marketing analytics or ad-tech environments • - Familiarity with ROI optimization and attribution modeling • - Exposure to DataDog or similar monitoring tools • - Spanish proficiency is a plus
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