Data Scientist

Data Scientist

Location: Minneapolis, MN - Local Preferred Duration: 6 Months - Contract to Hire (GC OR Citizens ONLY)

Job Description

• Support modeling, data analysis and database needs for assigned line of business.
• Manage large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications.
• Demonstrate strong technical/problem solving skills.
• Support multiple projects collaboratively.
• Assist in the development and implementation of complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc..
• May lead efforts on small-medium sized projects.
• Assist in dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
• May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.
• Partner closely with leader and others to ensure proper delivery.
• Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems.
• Help identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope.
• Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
• Embed analytic programs and tools.
• Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
• Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.
• Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing.
• Work cross functionally to develop standardized/automated solutions and adopt best practices.
• 1-3 years relevant experience

Additional Job Details:

• Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
• Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
• Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment.
• Ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
• Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
• Ability to work effectively in a collaborative team environment.

PREFERRED Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark