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Video Highlights: Supercharging our Data Scientists’ Productivity at Netflix

In this talk sponsored by Tecton, Jan Forjanczyk, Senior Data Scientist, Netflix and Ravi Kiran Chirravuri, Software Engineer, Netflix, working in Content Demand Modeling, present one of the challenges that they faced earlier this year. This is used as a backdrop to present the human-centric design principles that govern the design of Metaflow and its internals.

Domino Data Lab Debuts New Solutions with NVIDIA to Enhance the Productivity of Data Scientists

Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, announced a series of new integrated solutions and product enhancements with NVIDIA, some of which are available now and others will be made available in the coming months. These new enhancements allow data scientists and data engineers the ability to deploy the industry’s most powerful and innovative solution to enhance productivity and positively impact business outcomes.

Panel Discussion: Needed Data Skills for 2021

In this panel discussion article, Grant Shirk, Head of Marketing at Sisu, to help both hiring managers and job seekers looking to fill these key roles, sat down with a number of senior analytics leaders to get their perspectives on hiring, recruiting, and critical skills. You’ll find their conversation below, full of insights and actionable recommendations.

Video Highlights: How to Set Up a Remote Data Science Team

The talk below was part of a joint webinar with Appsilon and RStudio on July 28, 2020. In the presentation, Appsilon Senior Data Scientist Olga Mierzwa-Sulima explains best practices for data science teams – whether they are working in the office together or fully remote.

Infographic: How to Become a Data Scientist in 2020?

Data Scientist continues its reign as one of the most coveted jobs in 2020. In fact, as the business world becomes increasingly data-driven, there is a serious concern that the data science skill gap will continue widening and the supply of data scientist career talent won’t be able to catch up to the industries’ demand. For the 3rd consecutive year, our friends at 365 Data Science asked the data and collected their findings in a detailed annual report summarized in the included infographic.

International Women’s Engineering Day

Today is International Women’s Engineering Day 2019, and with women making up just 16% of engineering professionals, it’s important to highlight amazing women in the field, and encourage more young women to consider a career in engineering, specifically data science and data engineering in the process.

The Data Science Diversity Gap: Where Are the Women?

In this contributed article, freelance human Avery Phillips believes that data science is a much more creative field than you think. Diversifying data science teams means opening the door to different, more creative perspectives. This is especially important when the tech that’s being developed will specifically combat women’s issues, such as women’s healthcare. Show your innovative side in order to be of true value to the company you work for. Modern, savvy companies won’t care about your gender if you’re brilliant at what you do.

Infographic: The Typical Data Scientist 2019

It’s hardly a surprise to anyone in the tech and related industries that “data scientist” is the best job to have these days. After all, this has been what sources like the Harvard Business Review and Glassdoor report for what is now four years in a row. And even if we take the base salary of $108,000 out of the equation, the position is still plenty attractive on all other dimensions. The infographic below, produced by our friends over at 365DataScience, suggests that the field is evolving and, with it, the typical professional evolves as well.

Data Scientist Is Still a Hot Job and Pays Well Too

“Data Scientist: The Sexiest Job of the 21st Century.” So proclaimed the Harvard Business Review in 2012. Six years later and the job of a data scientist has only grown sexier. More employers than ever are looking to hire data scientists. Yet while the supply of data science job seekers is growing, it’s far outstripped by the rising demand in postings, meaning there potentially may not be enough skilled applicants. So the bargaining power in data science remains with the job seekers, according to new research from Indeed.

The Time Has Come for Data Scientists’ Own GitHub

In this contributed article, email marketer and writer Adelina Benson discusses how data collaboration is the main weakness in the data science world, and, with many actively trying to improve the way in which data is shared, the future looks hopeful. The main issue facing companies in the industry is that there are only a finite amount of data scientists, and so the remit is not as broad as with a general social media site.