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Data scientist

Data scientist
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Data scientist
Data scientist
Resume examples
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9Data scientist resume examples found

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Computer science resume examples
Data scientist Computer scientist Machine learning specialist
Experience level
Entry level Experienced Senior

Data scientist

Senior

Evaluated technology requirements to accurately and efficiently analyze data, revamped out-of-date systems, and reduced technology costs throughout the company. Developed and supported multiple databases and provided high-level technical support to clients.

  • Managed the development team, introduced project management best practices, and established formal project planning and scoping processes
  • Improved analytical accuracy from 92% to 97% within 6 months through rigorous development and implementation of new processes and procedures.
  • Saved the company $300K by designing and implementing in-house data analytics governance, change management, and training scheduling systems.
  • Optimized resources by outsourcing data backup and initiating the company’s first off-site backup for data.
  • Co-introduced and championed improved methods for data visualization as a cost-effective solution to present findings to clients.
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Data scientist

Senior

Recruited to oversee data science division and implement new project management policies and procedures. Managed the software development and engineering teams and implemented best practices to encourage efficient communication with other company divisions, including business and finance.

  • Established project management fundamentals that improve customer satisfaction ratings and project acceptance levels.
  • Led team that improved the RFP response process for new data science projects by 75%, leading to an elevated number of contracts per quarter.
  • Improved analysis turnaround cycle by 50% by streamlining quality control procedures for all data science activities.
  • Implemented AI/ML algorithms with the ability to run on structured data across several large-scale cloud data environments.
  • Developed and reviewed reproducible code from team members to integrate and standardize disparate datasets.
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