Cohere Commerce

Role Description This is a broad, cross-functional seat at the center of how we turn retail signal into things the market reads and acts on. You will work across three focuses: - Growth - Editorial publishing (including Observed, our category-insights series) - Retail trend analysis You will not work in a silo. You will partner with the founders and our Data Team day to day, and if you want to go deeper, get hands-on alongside Engineering. It is a rare chance to sit between the business and the data, and own real output from your first week. What you'll do - Retail Trend Analysis: Analyze platform and retail data to identify category trends, breakout brands, and momentum shifts before they become obvious to the market. Partner with the Data Team to refine the underlying methodology, distinguishing meaningful signal from noise. - Growth: Design and run growth and top-of-funnel experiments, identifying the highest-leverage levers, testing them, and measuring their impact. Support outreach, partnerships, and audience-building initiatives that expand our reach across buyers, brands, and investors. - Editorial Publishing (including Observed): Own the publishing cadence across our content ladder, from social cards to one-pagers to full reports. Translate data into clear, defensible narratives that a senior merchant or investor would respect and act on. Qualifications - Graduate student with prior experience in an analyst-type role, such as consulting, banking, equity research, strategy, or business development. MBA candidates are a strong fit, but we welcome strong candidates from other disciplines and backgrounds. - Collaborative by default. You like working across teams and learning from people who think differently than you do. - Fluent with AI tools as a daily multiplier, not a novelty. You reach for them by instinct. - A sharp writer who can make a number tell a story without overselling it. - Self-directed and organized, comfortable juggling growth, content, and analysis in the same week. Requirements - Some data background, comfortable pulling, cleaning, and reasoning over messy data. - CPG, retail, or consumer-brand exposure. - Interest in working alongside a technical team (Data, Engineering). - Experience publishing research, newsletters, or market commentary.

About Cohere Commerce Cohere Commerce is the leading AI-driven platform for retail sourcing and vendor evaluation, trusted by buyers, consultants, and investors across North America. Backed by top-tier investors with tens of millions in funding and partnered with major retailers like Target and Sprouts, we deliver real-time, validated insights that help the industry make smarter product decisions, streamline supply chains, and enhance the customer experience. As we continue to grow, you’ll play a foundational role in shaping the future of retail intelligence. The Role We are looking for a highly motivated Data Scientist (Applied AI) to bridge the gap between traditional data science and cutting-edge Generative AI. In this role, you won’t just be crunching numbers in a vacuum—you will be building the intelligent engines and AI agents that drive our platform forward. What You'll Do - Build the Foundation: Design and build high-quality data pipelines by extracting, cleaning, and integrating multi-source retail data (e-commerce transactions, social media, supply chain, user behavior, and funding info). - Develop Applied GenAI: Play a core role in developing LLM-powered applications. You’ll build RAG (Retrieval-Augmented Generation) systems, manage vector databases, and continuously iterate on Prompt Engineering. - Architect AI Agents: Help design and implement AI Agent workflows. You will use function calling and multi-step reasoning to automate complex, retail-specific business logic. - Evaluate & Iterate: Write evaluation scripts to test model accuracy and prep datasets for fine-tuning, ensuring our models become leading "domain experts" in retail. - Drive Business Value: Apply machine learning and statistical methods to power personalized recommendations and uncover deep insights into customer behavior. - Ensure Data Integrity: Champion data governance, monitor data quality, and set up anomaly detection. You will also design and evaluate A/B tests to guide product decisions with hard data. What We're Looking For Required - Education: Bachelor’s degree or higher in Computer Science, Data Science, Statistics, AI, or a related field. (Recent grads, current Master's/Ph.D. students, and early-career professionals with 1-3 years of experience are highly encouraged to apply!) - Data Engineering Chops: Strong SQL skills with experience in massive data processing, ETL pipeline development, and an understanding of modern Data Warehouse/Data Lake architectures. - Programming & ML: Fluency in Python. You are comfortable with data wrangling, feature engineering, and standard machine learning workflows (classification, clustering, evaluation metrics). - LLM Foundations: You understand how Large Language Models work under the hood and have tinkered with frameworks like LangChain, LlamaIndex, LLM APIs, and vector databases. - Hacker’s Mindset: You are highly self-directed. You can read documentation, quickly pick up new open-source tools or protocols (like MCP), and creatively solve engineering roadblocks. - Analytical Rigor: You have a sharp sense for data, strong logical reasoning skills, and experience with hypothesis testing, A/B testing, and metrics management. - Collaboration: Excellent communication skills with the ability to work cross-functionally and turn data into actionable business insights. Bonus If You Have - Previous data project experience in retail, CPG, or e-commerce. - Familiarity with managed AI services on AWS or GCP. - Hands-on, demonstrable experience building RAG pipelines or AI Agents from scratch. Why You’ll Love It Here - Full-Stack AI Impact: You will get hands-on experience across the entire AI lifecycle—from raw, underlying data pipelines to top-level AI Agent applications. - Global Scale: You will tackle the industry's toughest challenges using real-world data from top-tier North American retailers. - Massive Growth Potential: We are a fast-moving, flat-structured startup. Your code, your models, and your ideas will directly shape the product and the industry. - Snacks and Products: Unlimited access to the latest unreleased snacks, drinks, beauty and more.