 Hi everyone, I'm Sam Cahane and you're watching The Cube on the ground from the IBM Data First launch party here in New York City. I'm here with Jennifer Shin, Senior Principal Data Scientist at the Nielsen Company. Jennifer, thanks for joining us. I'm happy to be here. Two cubes in one day, you were on earlier, on a panel. Could you tell us a little bit about the panel? Sure, so we had a panel this afternoon, our long panel with some of the best data scientists out there, definitely people in the industry. And we just talked about everything from women in data science to the field itself. For our viewers, what's so exciting about data scientists? Can you make a plug for more people to get into the field? Well I think it's a great opportunity for scientists to have a outlet to be able to show their expertise in domains and in real world scenarios that they maybe didn't have before. So I think it's a great opportunity for anyone who's a scientist or engineer to really demonstrate what their expertise is. Right, so I'd love to take a little dig deeper into your role. Could you tell us a little bit about your job the day to day? Sure, so I do everything from working on university engagements, like right now we're working with Cornell Tech and doing a student project. I put a company challenge out there for them and we're working with the team to help them actually build up a prototype for something that hopefully we'll be able to offer our customers one day. Everything from that to working with data scientists within the Nielsen company and leading a lot of the initiatives in there as well. Fantastic, and for people who don't know, I know the Nielsen company is huge, but could you tell our viewers what the Nielsen company does? Well probably the most well known thing that we do is TV ratings, but we've actually branched out from that. We do digital content as well these days, so we're actually kind of redefining what our role is right now. Great, so I just want to talk about the party for a second. What do you think, a lot of energy going on here? How would you describe the party? Honestly, it's packed down there. I think I tweeted it, it's very, very packed. A lot of people, great food, IBM's really great food. Yeah, and I think it's a lot of interest in both being data scientists and finding out what tools are out there as well as being a business user and trying to figure out how can I use these data science tools for my business. Is this the new IBM? Normally I don't think IBM would throw a party at such a cool venue. I saw Jeans during the presentations from Bob Pitchiano. Are they changing? Is there a new IBM out there? Well, you probably know that better than me, right? Having worked at IBM. I mean, I think Jeans is pretty common among people from Silicon Valley, among people who are developers. I don't think that's new, but I will say IBM, I think, has been reinventing itself for a couple of years now, and I think we're starting to see it kind of really define themselves within the stage of data science. I agree, any last words for the viewers out there? Anything you want to leave them with? Yeah, I would say definitely check out the tool that IBM's just released and see if it's a good fit for what you're trying to do out there in data science. Great, and if people want to see that tweet you sent out, what is your Twitter handle? Oh, add eight path solutions, the number eight path solutions. All right, let's get her some more followers. Everyone, thank you for watching theCUBE. We're here live at the IBM Data First launch.