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# Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

- **Company:** Identity Digital
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $107,000.0 - $139,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, BigQuery, Cloud Database, Computer Programming, Python (Programming Language), Operational Databases, Tensorflow, Shell Script, SQL Databases, Unstructured Data, Reinforcement Learning, Pytorch, Large Language Models, Snowflake, Git, Pandas, Kubernetes, Information Technology, Machine Learning Operations, Databricks
- **Published:** September 22, 2026
- **Apply:** https://nlppeople.com/apply/eral

## About the Role

3+ years of experience in developing, deploying, and monitoring production data / ML pipelinesBachelor's Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferredDeep technical knowledge in several of the following topics: anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models, and modern MLOps / LLMOps practicesProfessional development experience with the following tools and platforms: Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, SHAP and leveraging AI / LLMs.Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plusExceptional problem-solving skills with the ability to diagnose and
resolve issues from limited or ambiguous informationCreative and strategic thinker with a strong analytical foundation and a focus on measurable impactCollaborative communicator who excels in cross-functional environments and builds strong working relationshipsHighly organized with excellent time management, attention to detail, and execution disciplineKnowledge of the domain name industry or digital identity ecosystem is a plusAbility to travel as neededAbility to work across time zones as part of a global organization as neededReliable transportation to the workplace

Physical Requirements

Prolonged periods of sitting at a desk and working on a computerMust be able to lift up to 15 pounds at times, Senior (5+ years of experience)

Tagged as: Business Intelligence, Data Warehouse, Industry, Language Modeling, NLP, United States

## Description

The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data Scientist and Machine Learning Engineer, you will work across (and connect) the expertise of these two related but distinct disciplines. Your responsibilities will include (but not be limited to): deriving data insights to drive decision making, applying ML and modeling techniques to solve business problems, and deploying and managing those models in production.

This role reports to the Director of Business Intelligence.

What You'll Do

Translate complex business problems into data, modeling, and machine-learning solutionsCollect, clean, transform, and validate data for analysis and model developmentExplore data to identify patterns, trends, anomalies, and actionable insightsDesign, train, evaluate, and refine predictive or optimization modelsSelect appropriate features, algorithms, metrics, and validation strategiesBuild reproducible data and machine-learning pipelinesDeploy models for batch or real-time inferenceDevelop and maintain infrastructure for reliable model servingMonitor model performance, data quality, drift, latency, and operational healthCommunicate findings and collaborate with stakeholders, engineers, and domain expertsActively models and promotes Identity Digital's core values through day-to-day interactions, behaviors, and decision-makingOther duties as assigned


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