This chapter covers
- Using best practices for pattern discovery and setting expectations for success
- Specifying, prioritizing, and planning projects from vague requirements
- Striking balances between complex technical trade-offs
- Clarifying business contexts and accounting for data nuances
- Navigating structural challenges in organizations
As a tech lead, your team of data scientists looks to you for guidance in technology choices, project execution trade-offs, and business knowledge and contexts. You are entrusted with helping the team cut through the complexities and ambiguities to deliver technical solutions on time with the available resources.
While many general capabilities are required for a data scientist to be effective [1], [2], it is the strategic capabilities that will differentiate you as a tech lead. You are expected to mentor a team of data scientists and work with business and engineering partners, influencing them without any of them reporting to you, to drive projects forward.
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As a data science tech lead, you are expected to influence without authority by mentoring a team of data scientists and collaborating with business and engineering partners to drive projects forward. |
