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Remote Data Scientist - REMOTE WORK

Jobs via Dice  ·  nan, Stati Uniti d'America · Remote

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About the job

Dice is the leading career destination for tech experts at every stage of their careers. Our client, System One, is seeking the following. Apply via Dice today!

For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.

  • Contract position for 6 month;
  • REMOTE WORK -- however, FIRST preference will be given to candidates who are either local or can relocate for on-site work (hybrid schedule) to: Pittsburgh PA, Cleveland OH, Birmingham AL, Dallas TX, Phoenix AZ

Data Scientist :

  • Develop data science solutions to enhance bank operations
  • Collaborate with a team of data scientists of varying levels to complete use cases
  • Analyze, prepare, and wrangle data for analytical purposes
  • Design and implement advanced analytics models
  • Develop deployment scripts for production environments
  • Communicate findings and present results to stakeholders
  • Lead and contribute to the completion of various data science use cases

Required Qualifications (Skills, Experience, Education, Certifications) :

  • Master's degree in Computer Science, Statistics, etc
  • Strong proficiency in Python programming language
  • Extensive experience with data science libraries and frameworks, including Scikit-Learn, XGBoost, and LightGBM
  • Demonstrated expertise in Apache Spark for big data processing
  • Solid understanding of statistics and Bayesian statistics specifically
  • Proficiency in deep learning libraries such as Keras/TensorFlow, PyTorch, or MXNet
  • Strong SQL skills for database querying and manipulation
  • Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders
  • Experience in developing and deploying machine learning models in production environments

For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.

  • Data Scientist - REMOTE WORK

Candidarsi ora

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