Вакансии
Research Scientist
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Опубликована 10 Сентябрь 2012 10:02:45. Вакансия предоставлена сайтом HeadHunter.ru
Эссекс ЛГ, ООО
Город: | Санкт-Петербург |
З/п: | обсуждается с кандидатом |
Опыт работы: | От 3 до 6 лет |
Отзывы о компании Эссекс ЛГ, ООО |
Key Responsibilitie
- Develop and deliver synthesized research findings through developing state-of-the art machine learning algorithms and predictive models that support strategic business goals
- Hypothesis generation, test design, survey research and analysis
- Initiate and maintain communication with clients for the purposes of technical coordination of the project requirements.
- Provide thought leadership on the strategy to implement best-in-class data analysis techniques and platforms within the organization
- Lead teams to setup, test and run data analytics platforms
- Develop big data algorithms and statistical models for problem solving in real life projects
- Work across multiple global teams to provide advanced analytics support on client projects
- Conceptualize and lead the development of new products and solutions using advanced analytical techniques for implementation in profit enhancement projects
Minimum Qualifications:
- PhD in Computer Science, Statistics, Applied Mathematics, Engineering or other quantitative field is highly preferred
- Strong mathematical background and hands-on experience in conducting statistical analysis, development of predictive models and machine learning algorithms
- Proven ability in applying theoretical knowledge in practical applications, data analysis, algorithmic prototyping, and data visualization methods
- Experience with statistical packages such as SAS, R, Matlab is essential.
- Strong programming skills in C++, Python, or Java and SQL is desirable.
- Excellent written and oral communication skills in English are required.
- Must be able to adapt to a fast changing environment
- Must be self-starter, possess ability to work independently as well as collaboratively within a team
Salary
Salary will be comparable to Industry Standard.
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