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
