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Associate Data Scientist
6AM City
- Brooklyn, New York, United States
- Brooklyn, New York, United States
Über
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R Python SAS SQL Tableau and Adobe Analytics/Target to perform modeling visualization and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but is strategically positioned to partner with and support nearly every part of the company including Product Marketing Consumer Sales and Operations Business and Commercial Banks Private Client Group and IT. We align to our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will sit in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Synthesize data from our analytics tools into actionable insights about customer and prospect behavior digital sales and servicing performance and customer value delivery. Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives collaborating with team members to achieve and measure project success. Provide opportunity analysis measurement plans dashboards and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python R and/or SAS
Create compelling intuitive dashboards to enable the business with critical metrics with a focus on data automation anomaly detection and actionable data visualizations
Partner with Digital Marketing Product and IT partners to evaluate the success of new initiatives
Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion
Be a partner in the building of KPIs and metrics that help to gauge the health and success of our digital and Omni assets and initiatives
Create self-service dashboards for internal business partners to learn understand have access to and derive insights from data metrics and KPIs
Apply automation techniques to manual processes to create efficiency improve accuracy and build upon successes that create a suite of self-service assets
Must have experience with R, Python, Markdown, and SQL
Preferred Qualifications
Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R Python AWS Sagemaker or SAS
Extensive experience with programming languages R or Python
Programming languages Java or C in a data mining context
Building web-based applications using HTML CSS Perl and JavaScript
Experience with web analytics tools and implementation - Adobe Analytics formerly Omniture SiteCatalyst Google Analytics IBM Digital Analytics formerly Coremetrics Webtrends
A/B testing tools Optimizely Adobe Target etc. and effective test design establishing sample sizes statistical significance measurement etc
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Sprachkenntnisse
- English
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