Remote Sr. Network Data Engineer

Remote Sr. Network Data Engineer needs 5+ years experience Remote Sr. Network Data Engineer requires: Locations: Charlotte, Broomfield, CO, USA; Chicago, IL, USA; Denver, CO, USA; Iselin, NJ, USA; Lewisville, TX, USA; New York, NY Hybrid Role 2/3 days in the office Minimum of 3 years of business experience in business/product analysis, other analytics, marketing, operations and/or consulting Minimum of 3 years of experience manipulating data in Microsoft Excel Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling. Experience with Snowflake warehousing platform Experience with Reinforcement Learning (MDP, Policy Optimization algorithm, Dynamic Programming algorithm) is a plus. Advanced SQL skills. Advanced ETL skills (e.g. Kettle, MS SSIS (SQL Server Integration Services), Alteryx, KNIME, etc.) Experience with programming languages skills (e.g. JavaScript, Python, and R etc. Hands-on experience in data analytics and in interpreting statistical models. Experience working with large databases and/or in a data extensive environment. Experience in a matrix structure and communicating with both technical and non-technical people. Minimum of 3 years of financial services related data management and reporting experience. Excellent analytical, problem-solving, planning, organizational and project management skills. Excellent innovation, interpersonal, and communication skills. Ability to develop and deliver presentations that simplify complex solutions/insights for non-technical audiences. Remote Sr. Network Data Engineer duties: Analyzes and reviews trends found from modeling to inform other lines of business such as peer Analytical teams, Enterprise Monitoring teams and Business Management Office. Develops data mining models, statistical reporting and data analysis methodologies to identify network anomalies and enable network optimization trough data driven decisions. Partners with other areas of the business to model outcome of implementing potential business strategies. Collaborate and present data to members of the Senior Leadership Team. Apply customer, market, and strategic research to support strategic planning. Collaborate with other data insights groups, IT and business intelligence units. Manages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results.