Data scientists and stakeholders clash on project timelines. How will you align their visions for success?
In the dynamic field of data science, aligning the visions of data scientists and stakeholders for project success is a common challenge. The meticulous nature of data science often requires ample time for analysis and model development, while stakeholders may be driven by business timelines and quick results. This divergence can lead to friction over project timelines. Understanding each other's perspectives and finding a middle ground is crucial for the successful completion of data science projects. By fostering communication, setting realistic expectations, and embracing flexibility, you can bridge the gap between data scientists and stakeholders, ensuring that the final outcome is both technically sound and aligned with business objectives.
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Pedram PorbahaMachine learning in Pharmaceutical & Medical Sciences, Pharm.D, PhD Candidate in Pharmaceutics
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Daniel OwenAI Engineer Intern @ CodeAlpha | Data Science
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Shobhit DiggikarActively Seeking Data Analyst position | Aspiring Data Scientist | Python | MySQL | Tableau | Statistics | Data Science…