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Data Scientist

SCB LLC
United States
5 days ago
Apply on arc.dev
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source
arc.dev

Tech stack

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
+6 more
Deep Learning Pandas Pyspark Information Technology Statistics Packages Software Coding

Job 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

Requirements

  • 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

Apply for this position

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