> Markdown version of [/jobs/ext/2736631-data-science-consultant](https://www.wearedevelopers.com/jobs/ext/2736631-data-science-consultant). 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 Science Consultant - **Company:** EPAM Systems, Inc. - **Location:** Newtown, PA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Human-Computer Interaction, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Pytorch, Large Language Models, Deep Learning, Data Analytics - **Published:** September 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/lytwnfvq40 ## About the Role * Extensive leadership experience in Data Analytics, Machine Learning, and AI of at least 12 years * Proven expertise in designing and deploying ML/AI solutions * Comprehensive knowledge of machine learning including deep learning, statistics, HCI, CNN/RNN, transformer architectures, LLMs (RAG), and privacy/security in ML * Demonstrated ability to lead geographically dispersed, multidisciplinary teams delivering AI products * Skilled in influencing senior stakeholders to secure project funding and sell AI initiatives * Strong communication skills to convey complex technical concepts to diverse audiences * Proficient in Python and ML frameworks such as PyTorch and TensorFlow * Experience with SQL and cloud platforms including AWS, Azure, or GCP * Familiarity with regulated industries or technology-related compliance functions * Excellent problem-solving capabilities to translate business needs into ML/AI solutions ## Description This role bridges business goals with innovative AI technologies, ensuring successful delivery and promoting AI integration across enterprises. Join us to guide multidisciplinary teams and help clients harness AI for transformative outcomes., * Guide technical strategy and leadership in ML and AI across client projects * Design and implement responsible AI frameworks and measurement aligned with business goals * Facilitate AI adoption and innovation by connecting different organizational units * Engage with clients to identify challenges and illustrate how ML/AI can solve them * Lead and mentor teams of data scientists and engineers as a collaborative partner * Track latest ML/AI technology trends and advise on new methods considering regulations * Serve as the key liaison between business, legal, and technical teams within EPAM and client companies * Define ML project scopes, pricing, and lead handoffs between sales and delivery * Build and maintain strong client partnerships via clear communication and issue management * Drive enterprise-level AI adoption by collaborating with executive and C-suite stakeholders * Support sales efforts by evaluating data opportunities, responding to RFPs, and preparing proposals ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)