Data Scientist (Madrid) (Remote)

Los Angeles, United States of America

Kharon

See the whole picture with the world's premier global risk analytics platform: Kharon. The leading solution for sanctions compliance, trade controls, and more.

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TL;DR Kharon is seeking a full-time, Data Scientist based in Spain, Portugal and/or The UK. This is a remote role but may require occasional in-office attendance at one of our main hubs in London and/or Madrid. 


Responsibilities: 

  • Accessing and cleaning datasets in all shapes and sizes, including large-scale tabular data, knowledge graphs, and complex text corpora.

  • Producing and maintaining analyses, reports, and visualizations to discover and explain valuable insights.

  • Implementing data pipelines and Machine Learning solutions to solve complex problems while writing well-designed, maintainable, and testable code.

  • Collaborating with backend engineers for the development, deployment, scaling, and maintenance of the data systems and services you build.

  • Closely working with product and other subject matter experts to understand problems and design original solutions.


Qualifications: 

  • 2-4 years of experience as a Data Scientist.

  • Strong understanding of statistics and machine learning methods (e.g., linear and nonlinear models, hypothesis testing, Bayesian approaches, etc.).

  • Experience with the Python data stack for data cleaning, analysis, and visualization.

  • Knowledge of data querying languages such as SQL.

  • Familiarity with or curiosity about global security threats and other issues impacting commerce and finance.

  • Experience with Natural Language Processing.

  • Understanding of Graph Theory, Statistical Analysis of Networks, and Graph ML.

  • Experience with Graph Databases or Semantic Knowledge Graphs.

  • Experience with big data technologies like Spark and Databricks.

  • Container-based deployment experience using Docker and Kubernetes.

  • BS/MS in a highly quantitative field (e.g. Statistics, Computer Science, Economics, etc.)


Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce.

 

What does that mean? Great question.


Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. 


When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Data Scientist to join us as we work to shape the way businesses perceive and navigate global risks. 


As a Data Scientist at Kharon, you will be required to analyze structured and unstructured datasets – from our core Knowledge Graph to information extraction from multiple natural language sources – and  connect the dots in a way that is meaningful by uncovering and quantifying risk exposure. You will be closely collaborating across our Data and Engineering, Product, and Research teams to produce analyses that uncover unique insights and build scalable systems to power our multiple offerings.


To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously, but we’re serious about the work we do and there is absolutely no slowing us down.  


To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect a broad range of benefits to help support you mentally, physically, and in your career growth.


Interested? Please apply by visiting our website and navigating to our careers page! We do our best to respond to each application we receive. Be on the lookout for an email from apply@kharon.com!


Kharon is an equal opportunity/affirmative action employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination.  All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.


The base salary range at Kharon is set between €78k-€95k annum. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.

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Job stats:  5  1  0
Category: Data Science Jobs

Tags: Bayesian Big Data Computer Science Databricks Data pipelines Docker Economics Engineering Finance Kubernetes Machine Learning NLP Pipelines Python Research Security Spark SQL Statistics Testing

Perks/benefits: Career development Equity / stock options

Regions: Remote/Anywhere North America
Country: United States

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