Data Science Engineer - TS/SCI/Poly | ML & Compliance

Zohorecruit; Kentucky; On-site; USD 206,000 - 248,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

PTO & Holidays

401(k) Match

Tuition Reimbursement

Job summary

Zohorecruit is seeking a Software Engineer (Level 2/3) to advance compliance analytics in Laurel, MD. You will design automation tools, integrate ML algorithms, and prototype data-driven pipelines within an R&D setting.

Expect hands-on experience with Scikit-learn, feature engineering, Jupyter, and distributed data processing, plus collaboration using Jira/Confluence and Git environments.

Qualifications

• Bachelor’s degree in Computer Science or a related discipline, plus 14+ years of software engineering experience on programs of similar scope and complexity, OR 18 years without a degree.
• Proficiency in Python, Java, and/or Scala in Linux environments.
• Hands-on ML/Data Processing experience with Scikit-learn, Random Forest, Jupyter Notebooks, and MapReduce frameworks.

Responsibilities

• Design, prototype, and maintain compliance automation tools and business processing analytics.
• Implement, test, and validate ML/AI algorithms in an R&D environment.
• Conduct Exploratory Data Analysis and feature engineering on complex datasets.
• Build, deploy, and monitor ML models, data flows, and telemetry.
• Integrate distributed MapReduce processing with backend pipelines.
• Develop full-stack software using Python, Java, Scala, Lucene, JEXL, SQL, and JSON in Linux.
• Collaborate using Jira, Confluence, Git/GitLab/Bitbucket and maintain documentation.

Skills

Extensive experience

Python

Java

Scala

Git/GitLab/Bitbucket

Jira

Confluence

Lucene

JEXL

SQL

JSON

MapReduce

Apache Spark

Education

Bachelor’s degree in Computer Science or related

Tools

Python

Java

Scala

Lucene

JEXL

SQL

JSON

Apache Spark

Git

Job description

Zohorecruit is seeking a Software Engineer (Level 2/3) to advance compliance analytics in Laurel, MD. You will design automation tools, integrate ML algorithms, and prototype data-driven pipelines within an R&D setting.

Expect hands-on experience with Scikit-learn, feature engineering, Jupyter, and distributed data processing, plus collaboration using Jira/Confluence and Git environments.