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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist, Artificial Intelligence - **Company:** FTI Consulting - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Bash Shell, Network Analysis, Cluster Analysis, Extract Transform Load (ETL), Data Visualization, Database Design, Query Languages, Database Schema, Linux, Graph Theory, Python (Programming Language), Machine Learning, Multiprocessing, Regression Analysis, Natural Language Processing, Object-Oriented Software Development, Recommender Systems, Software Engineering, SQL Databases, Cloud Platform System, Parallel Computation, Generative AI, Git, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Data Management, Machine Learning Operations, Spacy, Document Classification, Software Version Control, Data Pipelines, Docker - **Published:** July 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p5twkq9g3y ## About the Role * Experience in ideating a proof-of-concept and of independently managing workstreams in larger projects. * Experience in mentoring junior resources., * Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications * A couple of years of data science experience * Ability to travel to clients and FTI office(s) Technical Platform Requirements * Proficiency in the following computing language: Python including in depth knowledge of object-oriented programming and design principles. * Proficiency in the following query languages: SQL including strong knowledge of database structure and efficiency. * Proficiency in the following version control language: Git * Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy * Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes. * Experience with working cloud environments such as AWS Technical Concept Requirements * Experience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions. * Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents. * Understanding of AI/ML performance measurement best practices including but not limited to how to build and apply a QA/QC framework and knowledge of drift, bias, and fairness. * Experience in any of the following computer science concepts: Hashing, Space Complexity, and Parallel Processing (Multiprocessing) * Ability to work with Linux/*nix systems, bash scripting, SSH (with some instruction). * Experience in a Solution Architect role, with a demonstrated ability to design technical solutions including but not limited to Database Design, ModelOps, and Orchestration. ## Description Data scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality. FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve the entire firm. As a Data Scientist, you will research solutions and deliver high-quality outcomes with minimal guidance from Senior Data Scientists. You will mentor junior colleagues and lead sub-projects on larger initiatives. What You'll Do Data Management * Perform data availability/quality assessments * Develop comprehensive ETL processes Data Analysis * Perform exploratory data analysis and render key insights through evidenced results * Execute data quality assessments * Illustrate material understandings through coherent data visualizations * Execute and tune statistical analyses Modeling * Conduct necessary research for proof-of-concept model selection * Identify viable model features and apply appropriate normalizations * Appropriately log model parameters and metrics for comparison * Diligently optimize current processes and pipelines * Perform quality control * Actively work on ModelOps design and implementation Engineering * Develop data pipelines and models that are well designed and auditable * Develop production ready code that is scalable, maintainable, and adheres to best design principles * Develop scalable Gen AI solutions Communication * Frequently partner with internal and external stakeholders both technical and non-technical * Provide guidance to junior data scientists This is an excellent opportunity for a person with proven data science experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Data Scientists will have opportunities to collaborate laterally and vertically, internally, and externally, as well as contribute to projects through developing various approaches to complex issues How You'll Grow We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth. As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [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 Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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)