Hiring and Managing Data Scientists

Data Scientists are in Demand.

Data-Driven Companies are Starting to Hire them in Droves.

But data scientists are hard to find, and they’re increasingly hard to keep. Smart organizations today not only look for them, but also know how to manage them.

The interview process for data scientist should not only include the usual questions about the candidate’s experience, knowledge of certain areas or languages, and work ethic. It should also include questions about what motivates the person, what they do in their spare time, and how they think differently from other people.

A data science team is a group of people who come together with a common goal: solve a problem using data science tools and techniques. This is done by leveraging each member’s unique skillset into a cohesive working unit that is capable.

The Tesseract Academy is a leader in helping decision makers better understand how to attract, retain and train data scientists.

Data-Driven Companies are Starting to Hire them in Droves.

But data scientists are hard to find, and they’re increasingly hard to keep. Smart organizations today not only look for them, but also know how to manage them.

The interview process for data scientist should not only include the usual questions about the candidate’s experience, knowledge of certain areas or languages, and work ethic. It should also include questions about what motivates the person, what they do in their spare time, and how they think differently from other people.

A data science team is a group of people who come together with a common goal: solve a problem using data science tools and techniques. This is done by leveraging each member’s unique skillset into a cohesive working unit that is capable.

The Tesseract Academy is a leader in helping decision makers better understand how to attract, retain and train data scientists.

How to Hire Data Scientists.

What are the different types of data scientists, and which types are the best ones for your needs? Our unique frameworks help you understand how to find the best data scientists for your challenges and organisation type.

How to Manage Data Scientists

Methodologies like SCRUM are usually not very effective when working with data scientists. We teach you what the best structure is and how to make the most out of your data science capabilities.

How to Retain Data Scientists

Retaining good people is an art as it is a science. We help you do that, by educating you on what data scientists need in order to thrive within your organisation.

Who is Leading this:

Dr Stylianos (Stelios) Kampakis is a data scientist with more than 10 years of experience. He has worked with decision makers from companies of all sizes: from startups and solo entrepreneurs (which in total have raised more than $50million in funding) to organisations like, the US Navy, Vodafone and British Land. He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, a mentor in Cambridge University’s Judge Business School, a data science advisor for London Business School and CEO of The Tesseract Academy. He is also the author of the Decision Maker’s Handbook to Data Science, a book that has defined the space of data science for executives.
Denton Rawson is an entrepreneur and Founder of IOK Digital Ltd, which is a technology and AI consulting firm. With more than 20 years of experience in the technology industry. He has worked with some of the world’s Top Blue Chip organisations in the F100 and F500 at stakeholder level: A proven track record in delivering value for organisations with technology. He is an active member of the Tesseract Academy, where he currently consults on how Organisations can find value in their data through AI and Data science.
Angelo is freelance Principal Management Consultant and applied Data Scientist with broad experience implementing Data Analytics solutions, Digital Transformation and Technology Change for Vendors and Global Banks in Financial Services and Government. This unique blend of technical and interpersonal skills and his industry experience, have allowed Angelo to work with a broad range of Clients, helping them bridge the gap between their Business and Analytics teams, bring critical projects over the line and deliver great value to their organisation.

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