Data Scientist at Barbaricum

Job Description

Barbaricum is seeking an experienced Data Scientist to provide support for telemetry and maintenance analysis, which is focused on the direction, synchronization, and modernization of Condition Based Maintenance applications for the USMC. This individual will work within the Advana Enterprise Platform to develop, consult, and apply analytical methodologies for disparate and unstructured datasets.
Responsibilities
Design, configure, develop, test, and support data science solutions for a wide array of telemetry based USMC use cases, to include NLP and sensor based algorithms.
Conduct complex data assessments to determine operational utility of proposed data sets in answering priority requirements.
Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools.
Discover links and connections in disparate datasets providing context to intelligence analysts.
Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts.
Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
Qualifications
Active DoD Secret Clearance
Master’s Degree in quantitative field such as Mathematics, Statistics, Electrical Engineering, Computer Science, or Operational Research (Master’s preferred)
8+ years of industry experience in predictive modeling, data science and analysis with experience using cloud architectures including, but not limited to, Databricks, Qlik, MLFlow, AWS S3
Experience with ML fields, e.g., natural language processing, computer vision, sensor based algorithms, statistical learning theory
Experience in an ML engineer or data scientist role building ML models
Experience writing code in Python (Class and Functions), and R
Experience handling terabyte-size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
Desired Qualifications
Proficiency in SQL and noSQL databases
Experience with SQLAlchemy, Flask, Streamlit, Dash, React, JavaScript, HTML/CSS
Familiarity with Spark, GoLang, and Application Programming Interfaces (APIs)
Knowledge of Continuous Integration / Continuous Development (CI/CD) practices
Experience with Gitlab and Jira