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Recruiting for the Data Sciences Evaluating Candidates for Your Data Teams Approaches to Hiring: 1. The right job description: 3. The interview and selection process: 4. Conclusion

So you know what you need in a good data scientist, but do you know how to evaluate these fundamental skills? What resources are available to support your decision-making process?…

Recruiting for the Data Sciences What Makes a Good Data Scientist? Fundamental Things to Look for in a Data Scientist: In Closing:

Data science as a practice has exploded in the last 15 years, and is expected to continue its rapid growth in the coming years. This growth is supported by an…

Innovation and Transformation Effectively hire and retain a Data Science team in the midst of a crisis

The 2012 article ‘Data Scientist: The Sexiest Job of the 21st Century’ talks about the emergence of Data Science, with LinkedIn as a case study for how to get started. …

What IT Managers Need to Know about Data Science We can’t keep qualified data talent…What should we do? Chisel Analytics

A few months after you hire a data scientist or engineer for your team, they come to you and give you their two-week notice. They tell you that they received…

Recruiting for the Data Sciences We aren’t meeting current hiring expectations. How do we change that?

Not long after you learn that the company is not meeting current expectations, a hiring manager tells you that a data visualizer you'd hired quit. When you ask why, the…

Recruiting for the Data Sciences How To Create a Supply of Data Scientists and Analysts To Hire On-Demand

Hiring managers keep telling you that it is taking too long on average to fill data science positions.In response, you want to create a pool of pre-qualified candidates so that…

What IT Managers Need to Know about Data Science We can’t attract qualified talent or keep them. Help Chisel Analytics

You are sitting in your office when one of the company's data scientists comes in and tells you they're quitting. As your (now) former analyst walks out the door, you…

Recruiting for the Data Sciences We can’t keep qualified data scientists/analysts at our company.

Your hiring manager tells you that another data scientist quit, and it leaves you scratching your head as to why you cannot keep qualified data scientists at your company. With…

Recruiting for the Data Sciences We’re not seeing the results we thought we would. What did we miss?

The advanced analytics space is all about results. Your company expects the data team you built to deliver actionable insights that improve the company. However, when that same team fails…

Recruiting for the Data Sciences Top Jobs for Data and Analytics Professionals

An Expansion of Analytics-focused Role In response to the huge growth in data and its increasing importance to organizational strategy and growth, a variety of roles have been created to…

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