> Markdown version of [/jobs/ext/3023278-data-scientist](https://www.wearedevelopers.com/jobs/ext/3023278-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** AI AI LLC - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Python (Programming Language), Machine Learning, Model Validation - **Published:** September 21, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p1ozf3g2pu ## About the Role The ideal candidate should possess a strong background in statistics, data science, econometrics, quantitative psychology, applied mathematics, or a related discipline. Proficiency in Python and/or R is essential, along with a solid understanding of regression, classification, and predictive modeling techniques. Experience with model validation, out-of-sample testing, and working with messy, real-world datasets is highly desirable. Candidates should have a strong grasp of correlation, causation, and confounding factors, as well as familiarity with longitudinal or panel data. Excellent communication skills are necessary to translate complex analytical insights into clear, actionable outputs for non-technical stakeholders. An innate curiosity, willingness to challenge assumptions, and a collaborative mindset are critical for success in this pioneering role. ## Description We are seeking a highly skilled Founding Data Scientist / Quantitative Lead to spearhead the development of our analytical and statistical methodologies. This is a foundational, hands-on role with significant influence over model design, research methodology, data architecture, experimentation, validation, fairness, and product analytics. The successful candidate will work directly with the founders, product teams, and behavioral science specialists to shape the scientific direction of Tessembl. This role offers a unique opportunity to build the core analytical framework of the company from the ground up, ensuring that our products are grounded in robust scientific principles and innovative analytical techniques. The ideal candidate will have a passion for building scalable, explainable, and fair models that can be applied to complex organizational data, ultimately helping organizations better understand and manage their workforce., * Design and develop advanced statistical and machine learning models to support workforce decision-making processes. * Analyze diverse employee, organizational, and operational datasets to extract meaningful insights. * Create robust prediction, ranking, benchmarking, and longitudinal analysis frameworks. * Design experiments and develop validation protocols to ensure model reliability and accuracy. * Develop measures to quantify uncertainty and confidence in model outputs. * Work with behavioral and psychometric data to inform model development. * Identify and mitigate confounding factors within complex organizational datasets. * Conduct calibration, fairness, and bias analyses to promote ethical and equitable models. * Develop strategies for handling incomplete, noisy, and heterogeneous enterprise data sources. * Collaborate with engineering teams to productionize models, ensuring scalability and robustness. * Translate complex analytical results into clear, explainable insights for product and business teams. * Help establish and uphold scientific standards and research methodologies within the company. * Support early customer pilots, analyzing real-world data to refine models and strategies. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [From Data Mesh to AI Mesh: Integrating Distributed Intelligence on Decentralized Data Architectures](https://www.wearedevelopers.com/videos/1987-from-data-mesh-to-ai-mesh-integrating-distributed-intelligence-on-decentralized-data-architectures) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)