Senior Data Scientist

Summary

Join Looma as a Senior Data Scientist and deepen our understanding of shopper behavior, build models to measure media impact, and develop AI systems for product recommendations. You will be part of a product team that values collaboration and creativity, enjoying significant ownership and influence. This role requires proven experience in full-stack data science and thrives in a high-growth environment. Responsibilities are divided into performance reporting, AI recommendation engines, data infrastructure optimization, and A/B testing. The role reports directly to the VP of Product.

Requirements

• Possess a degree in a relevant field such as information science, mathematics, statistics, or computer science
• Have 5+ years of data science experience, including recent roles in a startup or early-stage company

Responsibilities

• Enhance Looma’s flagship Campaign Performance Reports (CPRs), which transform flat transactional data into comprehensive marketing KPIs—spanning brand awareness, trial rates, short-term sales impact, and lasting brand loyalty
• Improve the depth, quality, and reliability of these reports to ensure every advertising dollar is supported by clear, measurable data insights
• Collaborate across teams on third-party integrations, data engineering, statistical modeling, and product strategy to tailor our reports to the needs of our brand partners
• Develop innovative AI-driven recommendation engines that help shoppers discover new products to try that fit their tastes, needs, and preferences
• Create generative content systems that scale these interactive experiences and deepen the level of insights provided to shoppers
• Tackle complex technical challenges to ensure these systems are locally deployable, powerful, and trusted by leading retail and CPG brands
• Optimize and scale data ingestion pipelines, aggregation processes, and performance metric tables that underpin products like CPRs and enable scaled handling of ad-hoc analyses
• Simplify and streamline these processes to boost efficiency, accuracy, and reliability across Looma’s data products
• Provide in-depth analytical support to the product and content strategy teams, ensuring ongoing optimization of products and media production
• Manage ad-hoc analytical requests while building self-service tools that enable non-technical team members to plan and execute pilots and A/B tests effectively

Preferred Qualifications

• Possess proficiency with cloud-based data platforms (GCP preferred) and data extraction from SFTP servers, APIs
• Possess proficiency in building, deploying, and optimizing machine learning models and pipelines using Python, with experience in PyTorch, TensorFlow, and Kubeflow
• Have experience with data transformation in SQL using tools like dbt or similar data processing frameworks
• Have experience with deploying interactive visualizations and building BI dashboards (Tableau, PowerBI, Looker, Databox)
• Possess familiarity with modeling advertising performance and shopper behavior analysis within the CPG industry
• Have a track record of contributing to strategic discussions with sales, product, and executive stakeholders

Benefits

• Looma will provide a competitive compensation package consisting of base salary and stock options
• All Looma compensation packages include some cash / equity flexibility (i.e. you can opt for more equity and less cash or vice-versa)