Overview
On Site
$DOE
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Python
Project Management
Excellent Communication Skills
Data Analysis
Marketing Analysis
Statistics
Machine Learning
Natural Language Processing
Problem-Solving
Git
Mentoring
GitHub
B2B Software
Clustering
Logging
Financial Services
Version Control
Technical Leadership
Neural Networks
Neural
Statistical Modeling
Boosting
Loans
Automation Design
Experimental Design
Job Details
Position: Data Scientist
Location: New Jersey (3 days onsite)
Location: New Jersey (3 days onsite)
You have:
- PhD with 2+ years of experience, or master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied Mathematics, or related field
- 3+ years of hands-on ML modeling/development experience
- Background in insurance and underwriting preferred
- Solid understanding of data analysis and statistical modeling
- Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Demonstrated track record in experimental design and execution
- Hands-on experience with data wrangling including fuzzy matching and regular expressions, distributed computing, and applying parallelism to ML solutions
- Strong programming skills in Python
- Solid background in algorithms and a range of ML models
- Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
- Excellent analytical and problem-solving abilities with superb attention to detail
- Proven experience in providing technical leadership and mentoring to data scientists
- Strong project management skills with ability to monitor/track performance for enterprise success
- Experience communicating complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners
- Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, etc.)
- Working knowledge of NLP, LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation systems
- Experience in insurance, financial services, or related industries is a plus.
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