Remove GCP(Google Cloud Platform) Remove Machine Learning Remove Technical Review
article thumbnail

Salesforce’s Mike Kreaden on how to build a platform to drive growth

Intercom, Inc.

It’s now so inexpensive to go to market that having a great tech vision and product isn’t enough. Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. I had done some software consulting.

Scale 151
article thumbnail

Data Scientist Career Path

User Pilot

You’ll also need to be able to think critically and communicate complex information to non-technical audiences. Design, develop, and implement machine learning models and statistical analyses to extract meaningful patterns and trends. Stay up-to-date on the latest data science trends, tools, and technologies.

Data 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Scientist Job Description and Templates

User Pilot

Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. Design, develop, and implement machine learning models and statistical analyses to extract meaningful patterns and trends. Stay up-to-date on the latest data science trends, tools, and technologies.

Data 52
article thumbnail

PODCAST 78: What this Google Exec Wants You to Know About Success w/ Alison Wagonfeld of Google Cloud

Sales Hacker

Alison Wagonfeld is the Chief Marketing Officer for Google Cloud. She’s responsible for both GCP, which is the Google Cloud Platform and for G-Suite, which is Gmail, Calendar, Sheets, Docs, all the stuff that we all use everyday. And increasingly, Google Cloud is really expanding globally on that front.

Cloud 51