> Markdown version of [/jobs/ext/2647968-data-scientist](https://www.wearedevelopers.com/jobs/ext/2647968-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:** Digitive LLC - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Database Queries, Machine Learning, Oracle (Applications), Cloud Services, Google Cloud, Large Language Models, Deep Learning, Generative AI, Core Data, Machine Learning Operations - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/7b43dc10-6dcc-4ca8-9da8-2a318f3e89d3 ## About the Role 10+ Years Experience We need candidates with a traditional Data Science mindset, a blend of core Data Science and Gen AI skills. Someone grounded in classical ML/DL fundamentals who can also work with modern Gen AI tools. Candidate needs strong SQL skills to analyze datasets residing in Oracle (on-prem), GCP, or AWS environments. While the role will need to understand and support the MLOps team's workflows, this is not an MLOps engineering position, the person won't own MLOps responsibilities directly. Main thing is that candidate must be a go-getter who can work independently with minimal handholding. IVR Experience is not mandatory. High-Level Skill Set Primary Skills: * Core Data Science (statistical modeling, traditional Machine Learning, Deep Learning) * Generative AI /LLM-based solutioning * Strong SQL for data analysis (Oracle, GCP, AWS environments) * Strong independent problem-solving and stakeholder-facing communication Secondary Skills: * Working knowledge of MLOps concepts and pipelines (support/collaboration, not ownership) * Exposure to cloud data platforms (GCP/AWS) ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Building Multi-Tenant ASP.NET Core Applications: Best Practices and Real-World Solutions](https://www.wearedevelopers.com/videos/1552-building-multi-tenant-asp-net-core-applications-best-practices-and-real-world-solutions) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)