Principal Data Scientist (AI) – REMOTE (US)
Direct message the job poster from Hexagon Asset Lifecycle Intelligence
Responsibilities
- Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and RAG architectures with vector databases for compliance document understanding
- Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi‑step reasoning tasks
- Implement comprehensive LLM evaluation frameworks with automated pipelines, custom metrics, benchmark datasets, and safety guardrails ensuring regulatory compliance
- Build end‑to‑end MLOps pipelines for model training, deployment, monitoring, versioning, and automated retraining with drift detection
- Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time‑series forecasting
- Write production‑quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows
- Lead A/B experiments and product analytics to measure AI feature impact and drive data‑driven decision‑making
- Create explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence
- Collaborate with cross‑functional teams to translate business needs into ML solutions and communicate insights to stakeholders
Technical Skills
- Python (5+ years) : Production‑level experience with Pandas, NumPy, scikit‑learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest
- SQL : Advanced proficiency with complex queries, window functions, and optimization
- Machine Learning & NLP : Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis
- Generative AI & LLMs : Hands‑on experience with foundation models (GPT, Claude, Llama), prompt engineering, RAG architectures, and vector databases (Pinecone, Weaviate, Chroma)
- MLOps & ModelOps : End‑to‑end experience with ML pipelines, experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, CI/CD for ML, and Docker containerization
- LLM Evaluation : Experience with evaluation frameworks (RAGAS, DeepEval), custom metrics, benchmark datasets, and human‑in‑the‑loop validation
- Cloud & AWS : Experience with AWS services including SageMaker, Bedrock, S3, Lambda, EC2, and CloudWatch
- Statistics & Experimentation : Strong foundation in statistics, A/B testing, causal inference, and experimental design
- Visualization : Proficiency with Tableau, Power BI, or Python visualization libraries
Education & Experience
- 7+ years in data science, ML engineering, or related roles
- 3+ years building NLP/generative AI applications and implementing MLOps in production
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred)
- Track record of deploying ML systems processing large‑scale datasets with proper monitoring and governance
Preferred Qualifications
- Experience with agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI)
- Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems
- Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus)
- Experience with LLM fine‑tuning, document processing libraries, multi‑modal AI, or distributed training
- Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA)
- Experience working in agile environments with Jira
- AWS ML certifications or similar credentials
Key Competencies
- Strong communication skills explaining complex models to technical and non‑technical audiences
- Ability to work independently and collaboratively in fast‑paced environments
- Proven ability to convert POCs into production‑grade solutions
- Understanding of ethical AI and building trustworthy, explainable systems for regulated environments
Hexagon will NOT be able to provide visa sponsorship at any time during employment. If you will require visa sponsorship at any point in time, please refrain from applying.
About Hexagon
Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
Hexagon’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities. We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
Our technologies help produce actionable insights that enable better decision‑making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
Why work for Hexagon
At Hexagon, if you can see it, you can do it. Hexagon’s Asset Lifecyle Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces*.
- In the recently concluded workplace effectiveness survey by Korn Ferry, a global HR advisory firm, Hexagon, Asset Lifecycle Intelligence division has emerged as one of the most Engaged and Enabled workplaces, when compared to similar organizations that Korn Ferry partners with.
Everyone is Welcome
At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.
Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Software Development
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