Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

LMI is seeking a Data Scientist to support a government customer in analyzing large amounts of historical data and building machine learning models using that data. The ideal candidate will be a self-starter as they apply the scientific method to uncover insights in data and build predictive and prescriptive models. This role requires deep understanding of both classical and emerging data science methods as well as the hunger to stay on the leading edge of ML/AI technologies.

*This position is open to remote applicants

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

Responsibilities

• Perform exploratory analysis, merge, condition, and perform ETL on disparate data sources in preparation for model building.
• Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, and create automated anomaly detection systems.
• Assist in deployment of machine learning models into Kubernetes cluster environment
• Communicate results and ideas to key decision makers, analysts and other stakeholders.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Applied Math, or related STEM field is required. Master’s or PhD preferred.
• 3+ years of demonstrable experience applying data science methods to real-world problems
• Eligibilty to obtain and maintain a security clearance in a timely manner is required
• Proficient with at least one scripting language (Python, R, etc.)
• Experience working with large, distributed datasets as well as time series data
• Familiar with software development best practices and Agile Development
• Familiar with ML operations, model deployment, and containerization
• Outstanding communication skills, written and verbal
• Highly organized and able to manage multiple projects simultaneously
• Team-player mentality with a positive attitude
• Keen attention to detail and solid analytical skills
• Able to articulate complex, abstract concepts concisely and effectively

Languages, Tools, and Techniques

• Demonstrated proficiency with Python and SQL to manipulate data and draw insights from large data sets.
• Demonstrated proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Demonstrated proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Demonstrated proficiency with common data science libraries.
• Demonstrated proficiency visualizing/presenting data for stakeholders.
• Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot.