Data Scientist – AI/Machine Learning

Jobtailor; Maryland; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor seeks a data science professional to perform statistics, ML, and analytics to answer intelligence questions and build value-driven products for Analysts. You will transform data features, develop classifiers, and automate anomaly detection while collaborating with software teams to productionize validated models.

Responsibilities include data curation from diverse sources, monitoring model performance, and communicating results to decision makers.

Qualifications

• Bachelor's degree required in a relevant field.
• 3+ years of Defensive Cyber Operations experience.
• 3+ years of Machine Learning techniques and statistical model evaluation.
• Proficiency with R or Python and SQL for data manipulation and insights.
• Exposure to AWS, Cisco (CCNA), STIGs/IAVA, and Big Data Platform (BDP).
• Strong background with Linux (Ubuntu, CentOS, RHEL), Windows, and virtual environments.
• Ability to solve problems by applying engineering approaches.

Responsibilities

• Perform statistics, ML and analytic methods to answer key questions and deliver reusable products for Analysts.
• Apply ML to identify data features, patterns, classifiers, anomaly detection, and automated steps.
• Evaluate models and productionize them with software teams; reassess in production.
• Curate data from traditional and non-traditional sources; transform, integrate and load data.

Job description

Responsibilities

• Perform/utilize statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re‑usable products that provide real value to Analysts
• Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process
• Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re‑evaluate and refine machine learning models being used in production
• Curate and collect the data from a variety of traditional and non‑traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others
• Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy
• Work with analysts to interpret analytic results and refine analysis as needed
• Effectively communicate results and ideas to key decision makers, analysts and other stakeholders and shall provide information as appropriate
• Perform documentation of all processes, models and activities by developing, documents, and implement a configuration management plan for data sets
• Research latest data science tradecraft and technology

Requirements

• Active TS/SCI W/ Polygraph
• Bachelor's degree in relevant field and 8 years of experience; an advanced degree will be considered in lieu of years of experience
• 3+ years of Defensive Cyber Operations experience
• 3+ years of Machine Learning techniques and statistical model evaluation
• Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
• Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA, Big Data Platform (BDP)
• Strong background and skills in Linux (Ubuntu, CentOS, RHEL)/Windows/Virtual environments
• A problem solver who can get in, be given a project, and use engineering skills to determine a solution