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# Data Scientist

- **Company:** SCB LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Big Data, Databases, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Software Engineering, SQL Databases, Computational Statistics, Reinforcement Learning, Deep Learning, Pandas, Pyspark, Information Technology, Statistics Packages, Software Coding
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8h3khanq

## About the Role

* Bachelor's degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative
 * Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark)
 * Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning
 * Strong analytical problem-solving capabilities, * Master's or PhD degree in a quantitative discipline
 * Experience applying machine learning and statistical methods to large datasets
 * Solid understanding of advanced statistics and machine learning practices.
 * Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning)
 * Outstanding coding skills or software development background.
 * Ability to think independently and communicate complex ideas to less technical persons
 * Excellent command of English in both verbal and written forms

## Description

* Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
 * Solve complex problems on both technical and business sides using advanced analytical methods.
 * Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment
 * Research and develop new quantitative models and frameworks to enhance the company's data science capability