Sr. Data Science Software Engineer

Staffed4U LLC
Laurel, MD, United States
24 days ago

Role details

Contract type
Voluntary work
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Data Analysis Confluence JIRA Apache Lucene Linux Eclipse (Software) MapReduce IntelliJ IDEA JSON Python (Programming Language)
+17 more
Machine Learning Scala (Programming Language) Software Engineering SQL Databases Data Streaming Systems Integration Jupyter Notebook Large Language Models Random Forest Apache Spark Gitlab Git Scikit Learn Information Technology Bitbucket Machine Learning Operations Virtual Agents

Job description

The Software Engineer will develop, enhance, and prototype compliance and business processing analytics and tools. Responsibilities include developing new methods for automating compliance functions, improving existing processes, and investigating, integrating, and testing compliance modernization Machine Learning/AI algorithms and proof-of-concepts in a research and development environment. The engineer will also develop models and implement appropriate metrics and monitoring for developed tools, functions, and data flows.

Requirements

  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, and JSON
  • Random Forest experience, including feature development
  • Experience building and monitoring Machine Learning models
  • Experience developing in a Linux operating environment
  • Experience with Ghostmachine (Map/Reduce)
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/GitLab and/or Stash/Bitbucket
  • Experience with Jira
  • Experience with Confluence
  • Experience with Scikit-learn
  • Knowledge of Agency compliance standards, policies, and authorities
  • Experience with Agency corporate systems
  • Experience creating and reviewing technical documentation, * Data Science background
  • AWS experience
  • Experience implementing Machine Learning systems
  • Apache Spark
  • Exploratory Data Analysis (EDA)
  • Agentic AI
  • Large Language Models (LLMs)
  • Machine Learning feature development
  • Experience with additional Machine Learning models and techniques

SWE-3 Qualifications

  • Twenty (20) years of experience as a Software Engineer on programs and contracts of similar scope, type, and complexity.
  • Bachelor’s degree in Computer Science or a related discipline from an accredited college or university.
  • Four (4) additional years of Software Engineering experience on projects with similar software processes may be substituted for the bachelor’s degree.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Disability insurance, * 100% employer-paid medical, dental, and vision insurance through CareFirst for employees and their families
  • No payroll deductions or deductibles for health insurance
  • Short-term and long-term disability insurance
  • Life insurance equal to 150% of salary (up to $200,000)
  • Four (4) weeks of Paid Time Off (PTO)
  • Eleven (11) paid holidays
  • Flexible floating holidays
  • 401(k) with a 6% employer match, fully vested immediately
  • Annual 4% anniversary bonus
  • Holiday bonuses
  • Birthday bonuses
  • Up to $5,000 annually for continuing education and professional development
  • $100 monthly cell phone/internet stipend
  • Company-paid Amazon Prime membership

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:05 min

Integrating an assistant application with Jira software

Felix Augenstein · LIVE

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all