Gartner Research

Staffing Data Science Teams: Map Capabilities to Key Roles

Published: 27 August 2018

ID: G00355635

Analyst(s): Carlie Idoine , Alexander Linden , Jim Hare , Erick Brethenoux

Summary

The relative immaturity of data science and mismatches in data science skills are major obstructions to many business transformation efforts. Data and analytics leaders should cultivate a full spectrum of skills beyond data scientists to sustain a scalable data science capability.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Map the Critical Data Science Tasks to the Relevant Skill Sets
    • Guide, Inspire and Storytelling
    • Formulate and Prioritize Projects
    • Collect and Integrate Data
    • Prepare and Refine Data
    • Explore and Understand Data
    • Build Machine Learning Models
    • Operationalize Machine Learning Models
  • Choose the Right Level of Data Science Seniority for the Task
  • Expand the Data Science Team’s Capabilities With Key Support Roles

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