Data Scientist

Key Skills

Agile methodologies, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, DevSecOps, English Proficiency, GitLab, Machine learning techniques, OLAP, Python Programming, R Programming, SQL

Job Description

Overview

SPA is a fast-growing global company headquartered in Northern Virginia that supports defense and civilian agencies, NATO, and European ministries that face some of the most complex mission challenges in the world. If you are the best at what you do, we are looking for you. At MCR/SPA, you will contribute to programs and projects that matter—to your career, to your fellow citizens, and to your nation. You will use the latest technologies, techniques, and tools. You will be trusted to work independently and make decisions. You’ll be rewarded with top-tier compensation and benefits.

SPA have an immediate requirement for a Data Scientist.

Responsibilities

• Contribute to the development and implementation of an enabling data science capability at HQ SACT and the NATO Enterprise;
• Support execution and implementation of identified analytic opportunities for data analytics, data science, and AI within HQ SACT;
• Contribute to development of advanced Data Science products in form of Minimum Viable Products (MVP), in particular in support of the ACT Innovation Branch;
• Provide subject matter expertise to military and civilian staff, support ORS and CPP development, and develop proofs of concept;
• Collaborate with international civilian and military staff officers, data scientists, and software development teams;
• Support training and training development to increase data literacy.

Qualifications

ESSENTIAL REQUIREMENTS:

• Active National and/or NATO Secret security clearance
• Must be a citizen of a NATO Member nation
• University degree in a field related to Data Science such as Data Science, Data Analytics, Mathematics, Physics, Computer Science, Software Engineering or a related discipline; OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science within the last 7 years
• Minimum 5 years experience with data science best practices, particularly applied mathematics and/or programming (e.g., Python or R)
• Minimum 3 years experience working with teams embracing Agile DevSecOps principles, including CI/CD
• Minimum 5 years experience with Machine Learning techniques, especially on large scale datasets
• Minimum 3 years experience visualizing data and producing high-quality graphs and charts
• Minimum 3 years experience with data science public cloud offerings
• Minimum 3 years experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
• Minimum 3 years experience with SQL, SQL Tuning, OLAP, Big Data Technologies
• Portfolio of demonstrable products available online or/else open source contributions available online via GitLab, or similar platforms
• Fluent in English (written and oral)