- Published on March 10, 2022
- In AI Features
Council Post: Understanding the Head of Data Science role
The skills needed for a HoDS include technical knowledge and problem-solving; the ability to build and nurture teams; focus on delivery, stakeholders, strategic thinking and executive presence.
Image by Council Post: Understanding the Head of Data Science role
- By Mathangi Sri
In most organisations, data science has started its life as a research team– a ragtag bunch of independent researchers not bound by business impact and free to research and work on different areas.
Today, data science teams are the centrepiece of many organisations– a collective of accountable leaders driving business impact at scale.
The major responsibility of a Head of Data Science (HoDS) is to guide data scientists in impactful initiatives. HoDS may not be directly responsible for profit and loss, but has a huge role to play in directing the team towards organisational KRs and successes. In this article, we will look at what’s expected from a HoDS and how organisations can get maximum value out of this role. We will also cover the skills needed for the HoDS and the hiring p
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Mathangi Sri
Mathangi Sri currently works as the Chief Data Officer at Yubi. She has 18+ years of proven track record in building world-class data science solutions and products. She has overall 20 patent grants in the area of intuitive customer experience and user profiles. She has recently published a book – “Practical Natural Language Processing with Python”. She also recently published a book with BPB Publications 'Capitalizing Data Science: A Guide to Unlocking the Power of Data for Your Business and Products.
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