> Markdown version of [/jobs/ext/529985-specialist-data-sciences](https://www.wearedevelopers.com/jobs/ext/529985-specialist-data-sciences). 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). --- # Specialist - Data Sciences - **Company:** LTM Inc - **Location:** Tampa, FL, United States - **Salary:** $86,051.0 - $113,900.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Pattern Recognition, SQL Databases, Text Mining, Unstructured Data, Feature Engineering, Large Language Models, Model Validation, Pandas, AngularJS, HuggingFace, Performance Monitor, Machine Learning Operations, Virtual Agents, Api Design, Document Classification, Artificial Intelligence Markup Language (AIML), Docker, Microservices - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=94711ee1c8ff58eb ## About the Role Do you have experience in Text mining?, Proficiency in Python and libraries such as pandas scikitlearn NumPy PyTorchTensorFlow Strong understanding of machine learning algorithms especially for classification regression and clustering Experience with Natural Language Processing NLP transformers embeddings text classification summarization Familiarity with LLMs Large Language Models and frameworks like LangChain Hugging Face Transformers OpenAI APIs Knowledge of vector databases eg FAISS Pinecone Weaviate and retrievalaugmented generation RAG Experience with data preprocessing exploratory data analysis feature engineering and model evaluation techniques Handson experience with SQL and working with large datasets Secondary Skills NicetoHave Experience with cloud platforms AWS Azure GCP and MLOps tools MLflow DVC Airflow Familiarity with financial data and regulatory reporting eg FRB filings 14Q 9C Exposure to Docker Kubernetes and API development for model deployment Good to Have Experience with timeseries analysis and graphbased models Understanding of data privacy model fairness and explainability Contributions to opensource projects or published research papers Communication Behavioral Skills Strong verbal and written communication skills to explain technical concepts to nontechnical stakeholders Ability to collaborate effectively in a team environment and work independently when needed Demonstrated problemsolving mindset and curiosity to explore new technologies High level of accountability ownership and attention to detail Comfortable working in an agile fastpaced environment with shifting priorities Skills Mandatory Skills : Angular, Java Good to Have Skills : Java Microservices Other details ## Description We are seeking a highly motivated and skilled Data Scientist to join our growing team The ideal candidate will have a strong foundation in machine learning natural language processing NLP and data engineering with the ability to build scalable AIML solutions for complex business problems You will work on diverse projects including anomaly detection in financial datasets and building GenAIpowered conversational systems Key Responsibilities Design develop and deploy machine learning models for structured and unstructured data Build and finetune NLP pipelines for document understanding and conversational AI Perform anomaly detection and pattern recognition in largescale financial datasets Collaborate with crossfunctional teams including product managers domain experts and engineers Translate business requirements into data science solutions and present findings to stakeholders Ensure model interpretability performance monitoring and continuous improvement Stay updated with the latest advancements in AIML and GenAI technologies such as Agentic AI ## Related Videos - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [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)