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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (AI & Synthetic Intelligence) - **Company:** AB3 GROUP, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Cluster Analysis, Databases, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Sql Optimization, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Pyspark, Synthesizing Data, Databricks, Data Generation - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-data-scientist-ai-synthetic-intelligence-cint-7993932 ## About the Role * Minimum 5 years of experience in a Data Science capacity, with a track record of leading complex projects. * A Master's degree (or equivalent) in Statistics, Data Science, or a related quantitative field. * Deep understanding of Generative AI and LLMs, particularly for applications in text generation and data synthesis. * Advanced knowledge of statistical techniques: hypothesis testing, sampling theory, experimental design, and causal inference. * Strong knowledge of a variety of ML techniques (e.g., clustering, regression, neural networks, etc.) and their real-world trade-offs. * Expert proficiency in Python (DS/ML stack) and experience with frameworks used for LLM development and fine-tuning. * Advanced SQL skills and experience working with large-scale databases. * Ability to research and adopt new methods while mentoring junior colleagues on their application. Essential Qualities: * Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results. * Strong data-driven mindset with the ability to translate abstract business requests into actionable AI initiatives and solutions. * Excellent written and verbal communication skills, with the ability to explain and defend complex AI concepts to non-experts. Nice to Have: * Direct experience with Synthetic Data Generation techniques and the evaluation of synthetic data quality/utility. * Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), or fine-tuning open-source LLMs for open-end generation. * Experience with probabilistic modeling, or advanced profiling techniques. * Familiarity with online market research or survey exchange platforms. * Experience using Databricks, Spark, or PySpark for large-scale workflows. ## Description * Lead the research, discovery, and development of machine learning models - specifically focused on synthetic row generation, open-ended text generation, and data augmentation. * Design and drive advanced statistical methods and complex experiments to validate LLM performance and synthetic modeling hypotheses. * Develop logic for on-demand and dynamic boosting capabilities, collaborating with Engineering to integrate these models into Cint Exchange fielding workflows. * Design and refine sophisticated profiling taxonomies, leveraging large-scale datasets to create syndicated audiences. * Independently manage complex project planning, development, and maintenance end-to-end with minimal supervision. * Partner with Product, Engineering and Strategy teams to align technical AI delivery with business goals, ensuring a seamless transition from MVP to scaled integration. * Create clear, effective prototypes and deliverables that explain and defend complex Generative AI concepts to both technical and non-technical audiences. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Got AI ideas but no money? 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