Plano, TX, USA
10 days ago
Senior Data Scientist Associate

Do you have advanced skills with data? We have a wonderful opportunity for you to hone your data and analytics skills. The Data, Analytics and Reporting Team (DART) is poised to be the central Management Information Systems (MIS) group for all functions in the Consumer & Community Banking (CCB) Operations. We are a global group with presence in US, India & Philippines.

As a Senior Data Scientist Associate in the DART- Enterprise Data Solutions team, you will utilize various technologies and tools to support data infrastructure. The DART team owns and maintains a scalable data platform that provides the flexibility to warehouse, integrate and manipulate multiple disparate data sources, including business-managed and offline lists.  Additionally, you will have the opportunity to identify and build automated solutions for various business partners in CCB Operations.

Job responsibilities:

•    Understand and identify opportunities for improvement and efficiency gains
•    Develop automated solutions for business and internal partners
•    Assess viability of new tools and technologies to deliver business value
•    Deliver new tools and technologies at scale to support MIS organization
•    Build and maintain tools to enhance data analyst experience and implement automated risk mitigation
•    Partner closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction
 

Required qualifications, capabilities, and skills:

Bachelor's degree in a quantitative discipline (ex. Statistics, Data Science/Analytics, Applied Economics, Mathematics, Finance, Management Information Systems, or related field of study) or equivalent experience Proficient in SQL; ability to write queries optimally and familiarity with complex functions Manage and prioritize work in a fast-paced environment Technical knowledge and/or experience using various data visualization (e.g. Tableau) and data wrangling tools (e.g. Python, R, SQL, SAS, Alteryx) Hands on experience working with data warehouses to retrieve data efficiently using optimized queries Experience with cloud platform by interacting with data or services Summarize findings into concise, high level points geared towards the audience and visually depict key data and findings Strong understanding of data and database methodologies  Exhibit exceptional attention to detail and ability to work effectively with minimal supervision Thrive in a constantly changing environment with shifting priorities Work effectively across functions and levels; collaborate with teammates in a virtual environment

Preferred qualifications, capabilities, and skills:

Knowledge of Financial Services,  Demonstrated ability to use AWS Cloud Services; certifications a plus 5 plus years experience in a quantitative discipline Experience building automated solutions for end users Understanding of Continuous Integration/Continuous Deployment Pipelines and associated tools such as Git, Bitbucket, Jenkins, Spinnaker, etc.

 

This role does not offer visa sponsorship.

Schedule: Hybrid Monday thru Friday 8:00am to 5:00pm

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.

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