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Star is a global consultancy that connects strategy, design and engineering services to help companies accelerate product innovation. We support our clients at every step of their digital journey. Through co-creation, we guide them from ideation and concept crafting to full-stack development.
22 листопада 2016

Data Scientist (вакансія неактивна)

THE COMPANY
Cogniance is a 500+ people global consulting organization with roots in Silicon Valley. We exist to help innovators bring software and hardware innovations to market. In essence, we co-create technology products. Since our founding in 2008, we have been building a world-class company on a strong foundation of world-class people powered by world-class processes.

We work with early and growth-stage startups as well as Fortune 500 companies on the strategy, design, build, launch, and evolution of their technology products. In doing so, we practice Advanced Simplicity — balancing complex solutions with refined user experiences, by fusing technology and design.

THE CLIENT
CloudMade is the catalyst of change in the connected car industry. For decades, cars have served the same purposes with the same interaction models and same business models. Now all of that is changing. The new era of connected cars is challenging and reshaping an industry. From electric vehicles to car sharing to on-demand taxis, multi-modal transportation and self-learning cars, CloudMade’s products are at the center of a new type of mobility.

Our products enable a vast number of connected car use cases ranging from personalized search to chassis customization to mobility apps to radically re-thought navigation. For too long the driver has been expected to learn how to use the car. We’ve flipped that idea on its head. Using CloudMade’s software, the connected car learns about the driver, customizing every imaginable aspect of the car experience — from the tires to the screens in the cabin.

CloudMade’s leadership team is made up of industry veterans with startup and corporate successes behind them at companies like Psion, Microsoft, Macromedia, Oracle, Libratone, Harman-Kardon. We have offices in Menlo Park (California), Munich and Stuttgart (Germany), London (UK) and Kyiv (Ukraine).

THE OPPORTUNITY
Connected car business is booming, and we are looking for a Data Scientist to join ColudMade growing R&D who love to delve into large spatial, temporal and social datasets to extract meaning and answer complex open questions. You will get a freedom of choice over the tools you use, an environment in which you will grow professionally — and the chance to innovate.

Key Responsibilities:
— Work closely within a team to define required data and methods to solve a given problem
— Develop efficient code that can drive innovative analyses of large datasets
— Perform exploratory analysis of datasets and communicate the results
— Answer questions by using appropriate statistical techniques on the available data sources
— Take a self-motivated approach to your work

THE PERSON
Qualifications & Experience:
— Strong programming/algorithmic skills with one of the following languages — Java, Scala, C++
— Good knowledge of machine learning
— Comfortable with applying descriptive statistical methods and tools
— Good presentation/communication skills
— Good written and spoken English
— MS degree in AI, Machine Learning, Statistics, Computer Science or a related subject

Would be a plus:
— PhD in AI, Machine Learning, Statistics, Computer Science or related
— Experience with MapReduce technologies (Hadoop, HIVE)
— Familiarity with NoSQL datastores such as HBASE
— Able to build meaningful visualizations of results
— Experience with machine learning/data mining methods and technologies
— Previous work with automotive or IoT data analytics
— Previous work on open source projects

COMPENSATION AND BENEFITS
Cogniance offers competitive and rewarding salary and benefits package, as well as intellectually and creatively stimulating work environment, flexibility, and unique international travel opportunities.

HOW TO APPLY
If you are interested in this position, please send your detailed CV.

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