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.