Remote Sr. Network Data Engineer

Remote Sr. Network Data Engineer New York, New York, United States

$ 80.00 - 81.00 (US Dollar)

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 through 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