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Data Scientist - Product Engineering at Channel Factory. Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library, YouTube, and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world’s top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance. . Channel Factory embodies a strong start-up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem-solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture. . The Data Scientist is responsible for creating analytical solutions for data-driven marketing. The Data Scientist leverages supervised and unsupervised learning techniques to optimize all aspects of the marketing value chain (targeting, bid optimization, messaging, media preference, Text-to-Speech). Additionally, this role will have interdepartmental responsibility by supporting new product development and data best practices. . Responsibilities. . Develop repeatable automated “data wrangling” processes across multiple incoming data streams (performance, suitability, optimization, categorization, and more). . Build models to leverage multiple algorithms (logistic regression, random forest, GBM, RNN, CNN, CHAID, etc). . Conduct Text Mining (Sentiment Analysis, TF-IDF, etc) concerning our suitability scoring. . Create code deployable as automated routines in production environments. . Model validation activities. . Enable supervised and unsupervised analysis of ad campaigns. . Deliver non-technical presentations of technical solutions to Product Team and Leadership. . Develop agentic frameworks to harness LLMs and utilize NLP. . Establish statistically valid measurement practices . . Recommend storage and usage practices for outputs of Data-Science processes. . Run ad-hoc analyses related to Product builds and Requirements to drive data-driven Product direction. . All other duties as assigned. . . . BA/Master’s degree in Statistics, Engineering, Economics, or Applied Mathematics. . 3 or more years of applied statistical analysis. . 3 or more years of experience with Python. . 3 or more years of experience with SQL. . Experience with scikit-learn or keras, pandas, and numpy. . Ability to travel a minimum of 15% a year for onsite meetings, training, etc.. . Ideal Candidate Profile. . Natural curiosity about systems, data, and behaviors. . Independent self-starter with the ability to execute with limited supervision. . Effective communicator with the ability to convey complex ideas in simple general terms. . Resourceful in the development of solutions. . Experience with big data platforms (AWS, Aurora, ElasticSearch). . Experience with Natural Language Processing. . Experience building Data Science tools or Agentic Frameworks. . Experience in AdTech or data-driven marketing. . Company Location: United States.