Sr. Data Scientist

CoCounsel / Thomson Reuters

Not specified; not specified; comprehensive benefi...
Hybrid (2-3 days a week in the office)
Minimum 3 years data science experience
Proficiency in python and sql
Experience with scikit-learn, pytorch, keras, nltk
Thomson Reuters is seeking a Sr. Data Scientist for its CoCounsel division, offering a hybrid work model. The ideal candidate should have significant experience in data science, proficiency in Python, SQL, and experience with machine learning and visualization tools

Job Summary

  • The role involves solving complex business problems across multiple domains including Customer Experience, Operations, Finance, and Sales with minimal supervision.
  • Candidates will design end-to-end data pipelines, build predictive machine learning models, and extract insights from text using advanced NLP techniques.
  • Thomson Reuters offers a hybrid work model, comprehensive benefits including mental health support, and opportunities for pro-bono consulting projects.

Matching Summary

Match Score: 85

Thomson Reuters is seeking a Sr. Data Scientist for its CoCounsel division, offering a hybrid work model. The ideal candidate should have significant experience in data science, proficiency in Python, SQL, and experience with machine learning and visualization tools.

Salary

Not specified; Not specified; Comprehensive benefit plans including flexible vacation and tuition reimbursement

Skills & Requirements

Must-have

  • Minimum 3 years data science experience
  • Proficiency in Python and SQL
  • Experience with Scikit-learn, PyTorch, Keras, NLTK
  • Ability to build data pipelines using Alteryx or AWS Glue
  • Expertise in Natural Language Processing techniques

Nice-to-have

  • Consulting experience with a premier firm
  • Advanced degree in quantitative field
  • Strong presentation and storytelling skills
  • Experience with Snowflake and AWS Sagemaker
  • Ability to work in fast-paced startup environment

Key Requirements

  • 3+ years of data science domain experience
  • Degree preferred in Computer Science or Statistics
  • Master's or PhD in quantitative field preferred

Work Rights

Not specified

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