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Data Scientist onsite
Job in
Elizabeth, Union County, New Jersey, 07215, USA
Listed on 2026-01-01
Listing for:
Jobs via Dice
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Data Scientist
1 day ago | Be among the first 25 applicants
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Aroha Technologies, is seeking the following. Apply via Dice today!
PositionData Scientist
LocationNew 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/Git Hub, 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
Mid‑Senior level
Employment typeFull‑time
Job functionEngineering and Information Technology
IndustriesSoftware Development
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