Min 12+ Years Exp :: 100% Remote :: Senior Data Scientist :: only W2

  • Posted 3 hours ago | Updated moments ago

Overview

Remote
50 - 55
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Algorithms
Analytical Skill
Attention To Detail
Clustering
Collaboration
Communication
Conflict Resolution
Data Analysis
Data Wrangling
Decision Trees
Design Of Experiments
Distributed Computing
Evaluation
Financial Services
Git
GitHub
IT Management
Insurance
Leadership
Machine Learning (ML)
Mentorship
Modeling
Natural Language Processing
Presentations
Problem Solving
Product Engineering
Project Management
Python
Regular Expression
SAFE
Software Engineering
Statistical Models
Testing
Underwriting
Version Control

Job Details

7+ 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 records in experimental design and executions
 
Hands-on experience with data wrangling including fuzzy matching and regular expression. 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 and 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.
 
testing, logging,...). Working knowledge of core software engineering concepts (version control with Git/GitHub.
 
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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