Erstom
Senior Data Scientist
Erstom, Minneapolis, Minnesota, United States, 55400
The Data Scientist position is a hands-on role responsible for the end-to-end design, testing and development of analytics solutions for Service Operations. You will work closely with other team members and business stakeholders to apply machine learning, deep learning, NLP and other advanced analytics. You will research and prepare data for analysis, perform data exploration, apply machine learning and statistical techniques to draw conclusions and build innovative products to improve operational effectiveness and efficiency.
Responsibilities:
Work individually and/or with team members to design and develop machine learning models (both supervised and unsupervised) for prototyping or ad-hoc analyses.
Apply data mining techniques and perform statistical analysis as needed.
Collect and organize information from a variety of data sources.
Write queries to underlying Microsoft SQL Server and Oracle databases.
Work with business partners to learn and understand the specific domain
Clearly present findings to leadership and be able to articulately influence the Business Case for change.
Interview stakeholders in order to understand pain points and formulate hypothesis for scenario modeling.
Qualifications:
Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, ensemble modeling and text mining techniques such as sentiment analysis, topic modeling and entity extraction.
Exceptional quantitative skills and attention to detail.
Multi-year experience with Python/R and SQL.
Degree in Data Science, Computer Science, Statistics, Mathematics, Computational Linguistics or related field. MS or PhD preferred.
Ability to establish and maintain strong working relationships across the organization.
Experience with measuring the behaviors of customers navigating various Omni-Channel service platforms is a plus (i.e. Website visits, App usage, Call Center, voice-activated technology, etc).
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Responsibilities:
Work individually and/or with team members to design and develop machine learning models (both supervised and unsupervised) for prototyping or ad-hoc analyses.
Apply data mining techniques and perform statistical analysis as needed.
Collect and organize information from a variety of data sources.
Write queries to underlying Microsoft SQL Server and Oracle databases.
Work with business partners to learn and understand the specific domain
Clearly present findings to leadership and be able to articulately influence the Business Case for change.
Interview stakeholders in order to understand pain points and formulate hypothesis for scenario modeling.
Qualifications:
Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, ensemble modeling and text mining techniques such as sentiment analysis, topic modeling and entity extraction.
Exceptional quantitative skills and attention to detail.
Multi-year experience with Python/R and SQL.
Degree in Data Science, Computer Science, Statistics, Mathematics, Computational Linguistics or related field. MS or PhD preferred.
Ability to establish and maintain strong working relationships across the organization.
Experience with measuring the behaviors of customers navigating various Omni-Channel service platforms is a plus (i.e. Website visits, App usage, Call Center, voice-activated technology, etc).
#J-18808-Ljbffr