Senior Data Scientist

March 5

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Logo of The Looma Project

The Looma Project

The Looma Project is a company focused on in-store digital media with an emphasis on storytelling, education, and product recommendations. They offer a unique media platform where merchandise and media are co-located, aiming to authentically educate and inspire consumers at the point of decision. Their Relayβ„’ content engine is a global marketplace of docu-style filmmakers and creators, optimized for creating content that influences purchasing decisions in-store. The Looma Project represents a significant growth opportunity for retailers, enhancing category lift and sales metrics through effective in-store media solutions.

11 - 50 employees

πŸ›’ Retail

πŸ“± Media

πŸ’° Seed Round on 2022-02

πŸ“‹ Description

β€’ Looma is an in-store digital media platform focused on storytelling, education, and recommendations. β€’ As a Senior Data Scientist, you will deepen our understanding of shopper behavior, build models to measure media impact, and develop AI systems that recommend products to shoppers. β€’ Your responsibilities include performance reporting, AI recommendation engines, data infrastructure and ETL optimization, and A/B testing & ad-hoc analysis. β€’ You will enjoy significant ownership and influence over key strategic decisions as you grow into the role.

🎯 Requirements

β€’ A degree in a relevant field such as information science, mathematics, statistics, or computer science. β€’ 5+ years of data science experience, including recent roles in a startup or early-stage company. β€’ Proficiency with cloud-based data platforms (GCP preferred) and data extraction from SFTP servers, APIs. β€’ Proficiency in building, deploying, and optimizing machine learning models and pipelines using Python, with experience in PyTorch, TensorFlow, and Kubeflow. β€’ Experience with data transformation in SQL using tools like dbt or similar data processing frameworks. β€’ Experience with deploying interactive visualizations and building BI dashboards (Tableau, PowerBI, Looker, Databox). β€’ Familiarity with modeling advertising performance and shopper behavior analysis within the CPG industry. β€’ Track record of contributing to strategic discussions with sales, product, and executive stakeholders.

πŸ–οΈ Benefits

β€’ Competitive compensation package consisting of base salary and stock options. β€’ Cash / equity flexibility (more equity/less cash or vice-versa).

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