Job Title: Data Scientist
Employer: VWR Management Services, LLC
Location: Radnor, PA
Apply machine learning and data mining technologies to develop innovative solutions which include working with technology team to support machine-learning algorithms in a big data platform to solve a variety of business problems; define problems, collect data, apply advanced economic and mathematical concepts, establish facts and draw valid statistical conclusions; apply in-depth understanding of advanced mathematical concepts, operations and statistics to solve new and complex problems and develop innovative strategies; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses; build recommendation engines, sentiment analyzers and classifiers for unstructured and semi-structured data; cluster large amount of user generated content and process data in large-scale environments using Hadoop and Spark; perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods; perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns; identify and utilize appropriate analytic methods and specialized tools to generate insights, answer the business questions and fulfill project objectives; seek out innovative approaches and techniques; prepare and deliver presentations on insights and provide recommendations for action; develop and optimize algorithms to run in real-time/near real-time; work with technical team to transition research into real-world products; remain current on emerging trends, tools and technologies in the industry; visualize analysis of structured and unstructured data sets; improve the scalability and performance of our existing analytics solutions; conduct timely and effective research in response to specific requests (e.g. data collection, summarization, analysis, and synthesis of relevant data and information); participate in special projects and perform other duties as assigned.
Requires Master’s degree in Business Analytics and Project Management, Applied Statistics, Economics, or another directly related quantitative field and two years of experience in job offered or as Team Member – Manufacturing and/or Business Analyst.
Background in education, training or experience must include demonstrated ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights; must have experience in at least one of the following: machine learning, data visualization, statistical modeling, data mining, or NLP (Natural language processing); proficiency in analysis (e.g. R, SAS, Matlab) packages, programming languages (e.g. Java, Python, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and databases such as Hadoop, Storm, SQL and Solr; demonstrated ability to solve complex problems in a fast-paced environment with limited guidance.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position.
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