> Markdown version of [/jobs/ext/643841-principal-data-scientist](https://www.wearedevelopers.com/jobs/ext/643841-principal-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). --- # Principal Data Scientist - **Company:** Gravity Hair Salon, LLC - **Location:** Florida, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $36,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Streaming, Real Time Systems, Large Language Models, Machine Learning Operations - **Published:** June 25, 2026 - **Apply:** https://www.gravityitresources.com/job/9352-principal-data-scientist-plantation-florida/ ## About the Role * Strong experience in data science and machine learning (7+ years) * Proven track record of deploying models into production * Strong coding skills (Python + SQL) * Experience working with large-scale data platforms (e.g., Spark, Databricks, Snowflake, or similar) * Solid understanding of ML techniques (including time series, anomaly detection, NLP, etc.) * Comfortable working in ambiguous environments without defined tasks * Someone who proactively identifies problems and builds solutions * Interest in and willingness to experiment with AI tools (LLMs, GenAI) Nice to Have * Experience with MLOps tools (MLflow, SageMaker, etc.) * Experience with streaming or real-time systems * Background in financial services, fintech, or similar domains * Exposure to LLMs, RAG, or modern AI workflows What Makes This Role Unique * High level of ownership-you're not working off a backlog of tickets * Opportunity to build production systems, not just experiments * Ability to shape what gets built and why * Growing investment in AI and modern ML approaches * Strong cross-functional exposure ## Description We're looking for a Principal Data Scientist to help build and scale machine learning solutions that have real business impact. This is a hands-on role where you'll own the full lifecycle of your work-from identifying problems to deploying models in production and continuously improving them. The environment is fast-moving and highly collaborative, with a strong focus on applying modern AI and ML techniques, including emerging work with large language models (LLMs). What You'll Be Doing * Own end-to-end machine learning projects: + Define problems + Explore and prepare data + Build and validate models + Deploy to production and monitor performance * Develop solutions across areas like: + Customer behavior and personalization + Anomaly detection and fraud + Risk modeling and pattern recognition * Build and improve production ML pipelines and systems * Work with large-scale data platforms and complex datasets * Experiment with AI/LLM tools and apply them to real-world problems * Partner with product, engineering, and business teams to drive impact * Translate technical work into clear insights and recommendations ## Related Videos - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [For the Cars and the Curious: Android Drift](https://www.wearedevelopers.com/videos/499-for-the-cars-and-the-curious-android-drift) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [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 And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)