What are the responsibilities and job description for the Principal Scientists, Data position at Augment?
Job description:
Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX
Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)
Position Summary
We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.
This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.
Key Responsibilities
AI/ML Model Development
- Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.
Data Engineering & Feature Development
- Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.
NLP & Agent-Based AI Applications
- Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.
Business Decision Support
- Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.
End-to-End Deployment (MLOps)
- Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.
Data Storytelling & Communication
- Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.
Required Skills & Experience
Technical Expertise
- Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Advanced SQL skills and experience integrating data from multiple sources.
- Experience with Snowflake, AWS (SageMaker, S3, Redshift), and automated ML pipelines.
- Strong understanding of version control (Git) and collaborative development.
Soft Skills
- Highly curious, innovative, and growth-oriented mindset.
- Ability to drive projects independently from ideation to deployment.
- Strong business acumen with the ability to align technical output to business needs.
- Excellent communication skills with the ability to simplify technical concepts.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
- Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
- Familiarity with reinforcement learning or agent-based AI systems.
Why This Role?
This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.
Job Type: Full-time
Work Location: In person
Salary : $80 - $83