What are the responsibilities and job description for the Principal Data Scientist position at CDW LLC?
CDW LLC seeks Principal Data Scientist to play a key mentorship/leadership role in Data Science and AI to foster value creation from the use of the organization's data assets, as well as the external data ecosystem; responsible for ensuring that machine learning algorithms and data analytics are implemented appropriately, and the results are compiled into meaningful augmented analytical data products or dashboards and shared with relevant stakeholders; create value through data discovery, envisioning data-enabled strategies and enabling all forms of business insights and outcomes through analytics; work closely with business stakeholders as well as vendors to design, customize, implement, evaluate, improve, maintain and monitor the enterprise search engine; partner with business leaders to understand key objectives to design optimized data products; drive data innovation and transformation efforts across the enterprise; leverage general business experience with knowledge to convert high level business objectives into functional and technical requirements, user stories and specifications; map attributes to source including identification and documentation of transformation algorithms and scoring mechanisms, as necessary; document business, data and technical specifications ensuring documentation is kept up to date and relevant; mentor, train, and guide junior data scientists in the data science team; act as a project lead of a cross-functional team to work in a variety of data science centric projects, supervise the lifetime of these projects; translate business questions and concerns into specific hypothesis and quantitative questions that can be answered using data science and machine learning methodologies; work as a data strategist and predictive modeler by researching, identifying and integrating datasets and innovative algorithms that drive products and services forward; perform data exploration and foundational data analysis in support of long-term analytics objectives; provide hypothesis and requirements to develop analytic capabilities, platforms and pipelines; implement highly optimized data analytics processing algorithms on big data batch and stream processing frameworks (i.e., Hadoop MapReduce, Spark, etc.); apply machine learning techniques (both supervised and unsupervised), data mining techniques, performing statistical analysis and building high quality prediction systems; identify and report on trends and patterns found within data and make recommendations for business and process improvement; research new and emerging data platforms and trends; develop new predictive models and enhance existing models to advance machine learning skills; and transform, standardize, integrate data sets to develop data marts for data science use cases.
Minimum requirements include a master’s degree in Computer Science, Information Systems, or related field plus at least 3 years of experience as data scientist or data analyst, including at least 2 years hands-on experience with Hadoop, Hive and Spark and developing and deploying machine learning and NLP models. Must also have at least one year of hands-on experience with Cloudera Data Science Workbench, Salesforce Einstein and CRMA forecasting. The job is based out of CDW’s Vernon Hills, IL headquarters but the employee may work remotely from anywhere in the U.S.
Minimum requirements include a master’s degree in Computer Science, Information Systems, or related field plus at least 3 years of experience as data scientist or data analyst, including at least 2 years hands-on experience with Hadoop, Hive and Spark and developing and deploying machine learning and NLP models. Must also have at least one year of hands-on experience with Cloudera Data Science Workbench, Salesforce Einstein and CRMA forecasting. The job is based out of CDW’s Vernon Hills, IL headquarters but the employee may work remotely from anywhere in the U.S.
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