Booz Allen Hamilton is searching for a Data Scientist in Rockville, MD. According to the post, this position will “Work with cross functional consulting teams within the data science and analytics team to design, develop, and execute solutions to derive business insights and solve clients’ operational and strategic problems. Support the development of data science and analytics solutions and product that improve existing processes and decision making. Build internal capabilities to better serve clients and demonstrate thought leadership in latest innovations in data science, big data, and advanced analytics. Contribute to business and market development for the government and commercial market in the health space.” Read more
Posts Tagged ‘Data Scientist’
Technorati Media is looking for a Data Scientist – Machine Learning in San Francisco, CA. According to the post, “We currently have an opportunity for a talented Data Scientist – Machine Learning to help take our business to the next level. You‘ll play a key role in the definition, design, and development of the Technorati Advertising and Data platform, which currently services hundreds of millions of requests per day. Design, implement and optimize algorithms for performance and revenue in a in highly distributed environment- a variety of advanced massively scalable technologies such as multi-threaded distributed systems, big data pipelines, machine learning, predictive algorithms and more. Work with large (terabytes of data, billions of daily transactions) structured and unstructured data sets.” Read more
Data scientists can add another tool to their toolset today: GraphLab has launched GraphLab Create 1.0, which bundles up everything starting from tools for data cleaning and engineering through to state-of-the-art machine learning and predictive analytics capabilities.
Think of it, company execs say, as the single platform that data scientists or engineers can leverage to unleash their creativity in building new data products, enabling them to write code at scale on their own laptops. The driving concept behind the solution, they say, is to make large-scale machine learning and predictive analytics easy enough that companies won’t have to hire huge teams of data scientists and engineers and build the big hardware infrastructures that lie behind many of today’s Big Data-intensive products. And, the data scientists and engineers that do use it won’t need to be experts at machine-learning algorithms – just experienced enough to write Python code.
Kevin Casey of Information Week recently wrote, “Old-school organizations will fuel the next swell of data-driven initiatives in IT. So what’s in store for the early movers and, specifically, their big-data professionals? How will the data scientist and similar roles evolve? ‘The role is becoming bigger,’ said Olly Downs, chief scientist at big-data analytics firm Globys, in a recent interview. By bigger, he means in every way — what was once a niche is now, at least in some companies, a driving force.” Read more
Martin Hack, CEO and co-founder of machine learning company Skytree, has a prediction to make: “In the next three to five years we will see a machine learning system in every Fortune 500 company.” In fact, he says, it’s already happening, and not just among the high-tech companies in that ranking but also among the “bread and butter” enterprises.
“They know they need advanced analytics to get ahead in the game or stay competitive,” Hack says. For that, he says, they need machine learning algorithms for analyzing their Big Data sets, and they need to be able to deploy them quickly and easily — even if those who will be doing the deployments are coming from at best a background of basic analytics and business intelligence.
“There just aren’t enough data scientists to go around,” he says. It’s very tough to fill those roles in most companies, he says, “so like it or not, we have to make it much, much easier for people to digest and use this.”
Teradata is looking for a Data Scientist – Text Analytics in San Diego, CA. According to the post, “Teradata Aster is seeking experienced individuals with demonstrated capability in the applied analytic and/or data science space. Proficiency in data manipulation, analytic algorithms, advanced math, and/or statistical modeling is required and application development experience a plus. We are looking for exceptional individuals to join our Professional Services team as an Analytic Data Scientists. This client-facing role will be engaged in the design and deployment of solutions. The key requirement is demonstrated capability in applied analytics, with MapReduce and database experience being preferred.” Read more
Spartz is searching for a Data Scientist in Chicago, IL. The post states, “We’re one of the fastest-growing companies in Chicago. The Spartz Network, including OMG Facts, GivesMeHope, and MuggleNet, attracts 17 million readers across a dozen websites, mobile sites, and apps. You’ll be responsible for: Helping evolve an advanced feature testing process for all new major and experimental features and products including observing the critical metrics central to our business. Analyzing existing data points & proactively finding your own data points to improve a product or overall product line. Fine-tuning product settings in order to optimize KPIs. Periodically providing site health diagnostics for each product.” Read more
Earlier this month The Semantic Web Blog provided a look at Skytree’s machine learning-as-a-platform approach (see story here). This week, the vendor launched in limited beta a program to help businesses partner up their data scientists and analytics professionals with its software and data scientists. It’s dubbed Second Opinion, and The Semantic Web Blog conducted an email interview with co-founder and CEO Martin Hack about the new effort.
Semantic Web Blog: Is this service available only to existing customers?
Hack: Skytree Second Opinion is for both existing and new customers, essentially everyone interested in gaining firsthand experience with the power of machine learning, and how advanced analytics can give them greater insight into their data.
Spartz is looking for a Data Scientist in Chicago, IL. According to the post, “The Spartz Network, including OMG Facts, GivesMeHope, and MuggleNet, attracts 17 million readers across a dozen websites, mobile sites, and apps. Founded in 2009 and headquartered in Chicago, the company is one of the fastest-growing digital media publishers. The Spartz brands have over 12 million followers on Facebook, YouTube, and Twitter. Our communities are passionate and loyal – 60% of our young, highly engaged audience visits a Spartz site every day… So, you want a challenge? How about processing and analyzing all of the data that comes from running 25+ high traffic web sites? What about coming to work every day knowing that our product cycles are measured in hours and days compared to weeks and months at other companies? If that sounds like fun, we’d love to talk to you. We need someone to help us make sense of all this data.” Read more
Ask.com is looking for a Data Scientist in Oakland, CA. The post states, “Ask.com is looking for a Data Scientist to join a research-oriented team in the Oakland, CA office. The Data Scientist will join a horizontal team supporting the Ask.com core language technologies, which power the search- and database-driven question answering solutions as well as the algorithmic language processing infrastructure for the Q&A community and mobile applications. This position represents a excellent opportunity for you to tackle complex problems and deliver ‘real world’ solutions. We are looking for someone who is passionate, a self-starter and has demonstrated the ability to thrive in a fast paced environment.” Read more
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