Director of Machine Learning, Trade Compliance

We are looking for a talented Data Science & Machine Learning Leader to help build this vision.  As Director of Machine Learning for Trade Compliance, you’ll lead a team focused on one of our most fundamental workflows; understanding, and classifying shipment related information to provide value to our customers.  In this role you’ll report to the Chief Technical Officer and Chief Science Officer and help create the culture and environment by which we use cutting edge AI + ML to understand shipment attributes and predict modelling such as customs classifications, fraudulent shipments, detect trade based money laundering, know your customer, and other network classification and understanding.  This encompasses techniques such as deep neural networks including graph neural networks, NLP techniques, and combining categorical features with textual features and graph networks, tree based models, probability/likelihood estimation, and contextual multi-arm bandit problems.  This is a strategic role for our organization that enables us to provide meaningful value to real world customers faced with tremendous macroeconomic problems.

Responsibilities

• Manage a cross-functional team of talented Data Scientists, Analysts, and Machine Learning Engineers responsible for the various models that combine into our trade compliance module.
• Define Altana's data and machine learning technology standards, and oversee the training, mentorship, and performance of a world-class technology team
• Collaborate and build strong relationships with Product and Customer Solutions stakeholders to understand requirements and priorities
• Manage the evaluation and professional development of your organization.
• Contribute to a hiring process that attracts and retains world class technology talent who can push the envelope of natural language processing, machine learning, and network analysis

About You

• BS or MS degree in Data Science, Computer Science, or equivalent experience
• You have 10+ years of real-world professional experience building products based on Data Science & ML
• You have strong working knowledge of Knowledge Graphs, Entity Resolution, Natural Language Processing, and Classification techniques
• You can manage a team of high performing experts
• You have a strong sense of shared ownership and a collaborative disposition
• You have strong written and verbal communication skills

Nice to have, but not required

• You've worked with supply chain data, company data, or have familiarity with B2B economic modeling
• Experience with container technologies like Docker and Kubernetes
• Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

• Languages: Python, SQL
• Tools: Tensorflow, XGBoost, Git, Kubernetes, Databricks, AWS, Azure
• Datastores: Postgres, DataBricks, ArangoDB

Anticipated Salary Range: $190,000 - 300,000. Exact compensation may vary based on skills, experience, and location.