BlackHorse AFRICOM_PAI Data Scientist

We live in a time of unprecedented digital transformation that is challenging the way people and organizations combat today?s predominant cyber security issues. Known as the Fourth Industrial Revolution, new and unique types of publicly available information are constantly created and updated in real-time. This readily available data gives illicit actors more access vectors and leaves organizations with the burden of synthesizing large volumes of dynamic information to protect their digital assets. These changes also present new opportunities to develop competitive advantages over adversaries by capitalizing on innovations in technology. Security and innovation are often viewed in opposition of one another, where one is perceived to make the other more difficult. We believe they go hand in hand and are both equally important to your future success. We will engage you in thoughtful and transparent conversations so we can deliver solutions that address your biggest concerns and provide cyber resilience for the future. Summary: The famed Gordon Gekko from Wall Street once said: ?The most important commodity I know of is information. Wouldn?t you agree?? We here at BlackHorse Solutions couldn?t agree more, and it?s why we are building a premier team of experts who specialize in curating and synthesizing large amounts of Open Source and Publicly Available Information (PAI) and have the skills to quickly turn the collected data into relevant reports and actionable items in support of our mission. We are looking to find someone who can fill a key position on our team here in the United Kingdom as a Senior Data Scientist who specializes in Open Source and PAI analysis. Located just 2 hours outside of London, you?ll be working as an embedded Subject Matter Expert (SME) at our Molesworth facility as a member of a cohesive team supporting AFRICOM?s OSINT and PAI programs. A spirited mission, collegial work environment, and unique international experiences await those ready to join our team. Duties and Responsibilities: You may be wondering, what?s an average day look like for a Senior Data Scientist in Molesworth? Well, the short answer is it?s Amazing? (Okay, we admit we are biased) The long answer is you?ll focus on these types of daily duties and responsibilities: Data Crunch: Surprise, surprise. You?ll be expected to develop and test programs and scripts with Open Source and PAI to implement models and other analytical solutions. + Make Your Mark: Assist in establishing data analysis standards and best practices and help to implement these strategies with the team. + A Beautiful Mind: Analyze and interpret Open Source PAI data from multiple digital sources and determine mission-critical information that could impact Force Protection, Operational Security, Entity Resolution, Link and Social Network Analysis. + Seize the Day: Suggest methodologies, develop the data schema for structured observations, and support visualization of the data collected to make informed data dependent assessments. + Share the Wealth: Conduct on-the-job training with other team members, sharing information about new Open Source tools, capabilities, and best practices. + Have Passport, Will Travel: Possible short-term travel to support partner nation work or present and attend related PAI summits. Duration of the trips will be 1-2 weeks, with potentially 4 trips during the entire year. Required Qualifications: + 3-5 years minimum experience practicing as a Data Scientist or related position. + Extensive experience using Python and R. + Experience leveraging Open Source for APIs, text analytics, deep learning, and related. + High proficiency in machine learning and statistical model algorithms. + Working experience with big data technologies and environments. Desired Qualifications: + Experience using JSON. + Experience deploying Open Source machine learning models in real-time and batch. + Familiarity with using Linux and the command line. + Languages including but not limited to: Arabic, French, Somali and Hausa. + Familiarity with AFRICA related AORs. + Self-starter, driven to work independently or collaboratively, flexible, and accountable to stay up-to-date on the up-and-coming technologies related to PAI. Education and Experience: Undergraduate degree in statistics, mathematics, computer science, engineering or related field is required Advanced degree in analytics, machine learning, computer science, or related field is preferred (but not required). 3-5 years of relevant experience in the data science field. To all Staffing, Placement and Recruiting Agencies: We do not pay agency fees. Our job postings are only intended for individuals. To protect the interests of all parties, BlackHorse Solutions, Inc. (BlackHorse) will not accept unsolicited profiles, resumes, CV's or applications from any source other than directly from a candidate. Any unsolicited profiles, resumes, CV's or applications sent to BlackHorse, including unsolicited pr