Sr. Network Data EngineerNew York, New York, United States$ 80.00 - 81.00 (US Dollar)Remote Sr. Network Data Engineer needs 5+ years experienceRemote Sr.
Network Data Engineer requires:Locations: Charlotte, Broomfield, CO, USA; Chicago, IL, USA; Denver, CO, USA; Iselin, NJ, USA; Lewisville, TX, USA; New York, NYHybrid Role 2/3 days in the officeMinimum of 3 years of business experience in business/product analysis, other analytics, marketing, operations and/or consultingMinimum of 3 years of experience manipulating data in Microsoft ExcelMinimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applicationsAdvanced statistical analysis skills and Machine Learning modeling, Deep Learning modelingExperience with Snowflake warehousing platformExperience with Reinforcement Learning (MDP, Policy Optimization algorithm, Dynamic Programming algorithm) is a plusAdvanced SQL skillsAdvanced 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 modelsExperience working with large databases and/or in a data extensive environmentExperience in a matrix structure and communicating with both technical and non-technical peopleMinimum of 3 years of financial services related data management and reporting experienceExcellent analytical, problem-solving, planning, organizational and project management skillsExcellent innovation, interpersonal, and communication skills.
Ability to develop and deliver presentations that simplify complex solutions/insights for non-technical audiencesRemote 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 OfficeDevelops data mining models, statistical reporting and data analysis methodologies to identify network anomalies and enable network optimization trough data driven decisionsPartners with other areas of the business to model outcome of implementing potential business strategiesCollaborate and present data to members of the Senior Leadership TeamApply customer, market, and strategic research to support strategic planningCollaborate with other data insights groups, IT and business intelligence unitsManages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results