> Markdown version of [/jobs/ext/4013070-data-scientist-iii](https://www.wearedevelopers.com/jobs/ext/4013070-data-scientist-iii). 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 III

- **Company:** BMC Software, Inc.
- **Location:** Houston, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,525 - $190,875
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Confluence, JIRA, Cloud Computing, Software Code Optimization, Code Review, Data Infrastructure, Data Mining, Data Visualization, Statistical Hypothesis Testing, Machine Learning, NumPy, OpenShift, OpenAI, Tensorflow, Search Technologies, SQL Databases, Datadog, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Qwen, Model Validation, Generative AI, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Fastapi, Pandas, Scikit Learn, Kubernetes, Information Technology, Atlassian Tools, CrewAI, Machine Learning Operations, Evaluation of Large Language Models, Google Gemini, Bmc Software
- **Published:** October 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pvbh1bolia

## About the Role

* 6+ years of Data Science experience, with proven expertise in Machine Learning and Generative AI.
 * B.Sc. in Computer Science, Engineering, or a related field.
 * Experience working with Large Language Models (OpenAI, Anthropic, Gemini, Llama, or equivalent), with familiarity across different LLM architectures.
 * Hands on experience with prompt engineering, Retrieval Augmented Generation (RAG), LLM evaluation, and AI application development.
 * Experience designing performance metrics and evaluation frameworks for AI/ML systems.
 * Familiarity with agentic frameworks and agent-based workflows using LangGraph, LangChain, or CrewAI.
 * Strong proficiency in writing Python backend APIs (using FastAPI, Flask or similar) and in data science libraries such as Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
 * Strong knowledge of statistical analysis, hypothesis testing, data mining, and machine learning techniques.
 * Experience querying and analyzing data using SQL and modern data platforms.
 * Proficiency in data exploration and data visualization techniques and tools.
 * Familiarity with cloud platforms such as OpenShift (OCP) and AWS.
 * Self-starter with intellectual curiosity; self-learner, flexible, and able to work in a multi tasked and dynamic environment.
 * Excellent communication skills, with demonstrated ability to explain complex technical concepts and predictive analytics to non-technical audiences.

What Will Make You Stand Out

 * Experience with LLM evaluation and observability tooling such as Langfuse, OpenTelemetry based stacks.
 * Experience with vector databases and embedding models for retrieval and semantic search.
 * Experience with MLOps practices such as experiment tracking, model registries, and pipelines (MLflow or Kubeflow).
 * Experience with fine tuning and open weight models such as Llama, Mistral, and Qwen.
 * Experience with Agile methodology and Atlassian products (Jira, Confluence).

## Description

Machine Learning & Generative AI Development (core focus):

 * Design and develop Machine Learning and Generative AI solutions for complex business problems, applying statistical analysis, data mining, and machine learning techniques.
 * Apply prompt engineering, RAG, and LLM evaluation in end-to-end AI application development.
 * Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors.
 * Collaborate with domain experts to understand business requirements and formulate data driven solutions.

Evaluation, Governance & Enterprise Grade Quality

 * Deliver solutions to enterprise grade quality standards: rigorous, validated, reproducible, and ready for mission critical use.
 * Define and implement evaluation frameworks for agent accuracy, task completion, reliability, and user satisfaction.
 * Develop benchmarks, test datasets, and performance metrics for agentic AI systems.
 * Contribute to AI governance, model validation, and continuous improvement initiatives.

Model Optimization & Deployment

 * Implement strategies for model optimization, considering the constraints and requirements of mainframe environments.
 * Support packaging and deployment of models and AI solutions into production environments.

Collaboration & Communication

 * Explain complex technical concepts and predictive analytics clearly to both technical and non-technical audiences.
 * Contribute to code reviews, technical documentation, and best practices., BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.