Since 2012, Pivotal has teamed up with Girls Who Code to encourage young women to pursue computer-related degrees and careers. In today’s world, too many young women are forgoing a career in computer science even though they showed high interest in science, technology, engineering, and math subjects.
Our customers achieve the greatest business outcome when they take on digital transformation—not just implementing software or delivering a project—but taking the learnings from a smaller, collaborative IT and business team then expanding the approach to become a true software and data-driven company. This week, we are announcing the leader of our transformation practice at Pivotal Labs. One the most influential women in Bay Area business, Siobhan McFeeney will be leading the group and helping our customers achieve a greater impact to their top and bottom line—all by optimizing their use of Pivotal solutions.
In this post, we get to know more about one of our senior data scientists, Mariann Micsinai. She is a great example of the type of people Pivotal likes to have on the team and is a modern big data wrangler who works in the trenches with subject matter experts and business line leaders alike. With a focus in financial services, her expertise crosses a number of areas and her interests, passions, and education bring the best of academia and real-world problem solving.
Based in Dallas, Savoya is currently building out their tech team from the ground up with the help of Pivotal Labs.
This is a great opportunity to join a thriving company. If you’re interested in the position please reach out … Read more
As we close out the first month of 2014, we've seen a plethora of data-driven innovations and breakthroughs during January. From cancer to climate research, social networking apps to viral sensations, January has been an exciting month for the field that demonstrates the promise and increasing prominence of data science.
The field of data science is a relatively new one, with a growing handful of academic programs making early attempts at setting a rubric. As a result, its definition and the roles it encompasses remains up for debate. There are plenty of broad definitions, but the suite of skills at the disposal of successful practitioners is more oblique. Sure, data science involves statistical modeling and computer engineering, but what precisely does that entail?
Since data science is a relatively nascent field, enterprises often have a hard time finding the best and the brightest. Compounding the confusion is that the best practitioners often come from diverse backgrounds. It’s difficult to assess creativity, inquisitiveness, and cross-disciplinary skills by going down a checklist. In a recent blog post, Hilary Mason, Chief Scientist at bitly, proposes a set of non-traditional interview questions she believes are far more revealing of a data scientist’s abilities and potential.
With Big Data becoming one of the year’s top buzzwords, terms describing the practitioners working with said data can become confused. As Data Scientists grow in demand in the job market, it’s important that the role doesn’t grow conflated with that of Data Analytics. In a recent blog post, Data Architect Venu Anuganti clarifies some of the distinctions between Data Scientist and Data Analytics practitioner.
We’ve previously talked about the high demand for data scientists, and the eclectic backgrounds of practitioners in the field. The discipline is so relatively new that enterprises and organizations that are aware of their Big Data needs may still be unclear about what they’re looking for in new hires.
At Pivotal Labs, one of the services we provide our clients is helping them interview and hire. Pivotal Labs and our clients place a strong emphasis on Agile development and its many aspects: Pair Programming, Test-Driven Development, rapid iterations, and frequent refactoring.
Halogen Media Group merged with YouCast Corp. to collaborate in forming a powerhouse of technology, Social Chorus (http://socialchorus.com), that measures social reach through paid and earned media through influencer distribution.
Here's the job posting: