Data Scientist/Software Engineer (Remote - Virg... @ Jobgether
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Job Details
Overview
The Data Scientist/Software Engineer role at Jobgether on behalf of G2 Ops, Inc. blends data science, machine learning, and software engineering. The professional will transform complex technical information into actionable insights and support mission-critical projects through advanced AI/ML models and automation.
Accountabilities
- Develop and deploy machine learning models for data extraction.
- Curate and preprocess high-quality training datasets.
- Implement and fine-tune transformer-based NLP models (BERT, GPT).
- Build and optimize end-to-end ML pipelines.
- Collaborate with cross-disciplinary teams to align technical goals.
- Integrate models into operational tools and MBSE environments.
- Analyze model performance using statistical validation.
- Stay updated with AI/ML advancements and research.
- Maintain secure code practices, data standards, and version control.
Qualifications & Technical Skills
Bachelor’s or Master’s degree in a relevant field with 5+ years of experience. Proficiency in Python and R along with libraries such as Pandas, NumPy, and scikit-learn is required. Experience with TensorFlow, PyTorch, Hugging Face Transformers, SQL/NoSQL databases, ETL pipelines, and data visualization tools is essential. Familiarity with MLOps tools, software development lifecycle, and LLMs is also required. Active DoD Secret Clearance (or ability to obtain) is a must.
Benefits & Company Culture
The position offers a competitive annual salary, comprehensive insurance coverage, a 401(k) plan with matching, paid time off, holidays, educational assistance, flexible schedule with telework options, and a supportive, family-oriented culture. Jobgether uses an AI-powered, transparent, and unbiased selection process.
Key skills/competency
- Data Science
- Software Engineering
- Machine Learning
- Python
- R
- NLP
- MLOps
- ETL
- SQL
- Collaboration
How to Get Hired at Jobgether
🎯 Tips for Getting Hired
- Research Jobgether's culture: Review their mission and AI-driven matching system.
- Tailor your resume: Highlight ML, Python, and NLP expertise.
- Use keyword optimization: Include terms like MLOps and ETL pipelines.
- Prepare clear examples: Detail real project experiences and results.