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Machine learning partnership for global trade

Data Scientist

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At Altana, you’ll build and deploy machine learning solutions for large, unaddressed market opportunities with real-world, meaningful impact.
Technical team members will build the next generation of data management and insight products, involving novel work in natural language processing, multi-objective learning, deep learning, and adversarial learning. Commercial team members will deliver technical solutions for hard problems in massive, unaddressed sectors. You will have the opportunity to travel globally and work with some of the top technical and domain experts in trade and international affairs.

We’re looking for candidates eager to join an entrepreneurial and inclusive environment, and determined to make a big impact. We have an array of jobs in both technical and non-technical areas— and are always on the lookout for great new additions to our team. If you’re interested in working with Altana but don’t see a job opening that’s exactly right for you, email us at jobs@altanatech.com


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We are currently hiring for a Data Scientist role. The role features exciting challenges:

- Build performant models that deliver high quality results when applied to non-stationary and adversarial distributions

- Build systems that monitor the evolving performance of these models as the incoming distribution changes

- Apply multi-objective and transfer learning to learn robust general features of global trade risk and enable extension to new risk domains

- Analyze global trade networks, using techniques from web/social/economic network analysis

- Use unsupervised and semi-supervised techniques in cases of low outcome-data availability

- Work with data engineers to integrate your models into robust and performant data pipelines

- Opportunity to work with the top technical and domain experts on our advisory board

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A strong candidate will have the following characteristics:

- B.S., M.S., or Ph.D. in an engineering or quantitative discipline, or equivalent work experience

- Expertise in machine learning and classical statistical analysis

- Expertise in natural language processing or network analysis

- Expertise in Python or R