Aroha Technologies, Inc

Data Scientist || New Jersey (3 Days Onsite)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in New Jersey (3 days onsite) with a contract length of unspecified duration. Candidates should have a PhD or master's degree with relevant experience, strong Python skills, and a background in insurance preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 23, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Elizabeth, NJ
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🧠 - Skills detailed
#Automation #Python #Project Management #Distributed Computing #Data Science #Data Analysis #Clustering #Programming #Version Control #GitHub #ML (Machine Learning) #Data Wrangling #NLP (Natural Language Processing) #GIT #Regular Expressions #Leadership #Logging #Neural Networks #Computer Science #Statistics #Mathematics
Role description
Position: Data Scientist Location: New Jersey (3 days onsite) You Have β€’ 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 β€’ 3+ years of hands-on ML modeling/development experience β€’ Background in insurance and underwriting preferred β€’ Solid understanding of data analysis and statistical modeling β€’ Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks β€’ Demonstrated track record in experimental design and execution β€’ Hands-on experience with data wrangling including fuzzy matching and regular expressions, distributed computing, and applying parallelism to ML solutions β€’ Strong programming skills in Python β€’ Solid background in algorithms and a range of ML models β€’ 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 β€’ Excellent analytical and problem-solving abilities with superb attention to detail β€’ Proven experience in providing technical leadership and mentoring to data scientists β€’ Strong project management skills with ability to monitor/track performance for enterprise success β€’ Experience communicating complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners β€’ Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, etc.) β€’ Working knowledge of NLP, LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation systems β€’ Experience in insurance, financial services, or related industries is a plus.