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.
March 5
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.
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.
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.
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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