Sr. Data Engineer - Analytic Consultant 5

Job Description

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as “Personal Cell” or “Cellular” in the contact information of your application.

At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

The Chief Operating Office (COO) is responsible for delivering a more consistent approach to business operations across Wells Fargo, strengthening the company’s risk and control infrastructure, and delivering effective and efficient enterprise services to employees and customers.

The COO group includes the head of Operations, who is jointly responsible for line of business operations with each of the five LOB CEOs. Operations functions include contact center operations, client servicing support, money movements within our businesses, lending operations, and other functions.

The COO group also includes a number of teams dedicated to strengthening Wells Fargo’s risk and control infrastructure. These include the Control Executive team; Regulatory and Policy Affairs; Enterprise Customer Excellence; Sales Practices Oversight and Management; and Strategic Execution and Operations.

The Chief Administrative Office, encompassing the Corporate Properties Group; Corporate Security; Enterprise Business Resiliency; Strategic Programs and Process Improvement; Enterprise Change Management; Supply Chain Management; and Data Management and Insights, delivers important services for our employees and customers.

This role is a part of DMI’s Enterprise Analytics Team – the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community.

We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this foundational role, you will support Customer Genome program. This initiative is focused on creating analytically derived insights to inform development of personalized customer experience and marketing programs. As part of the core Customer Genome team, you will collaborate with other data scientists to generate innovative ideas, define analytical needs, create hypothesis, conduct data discovery, data wrangling, and exploratory data analysis, evaluate data quality, and prepare datasets for building statistical models and machine learning algorithms. You will also help training, testing and deploying machine learning models.

Key Responsibilities Include:

• Extract, transform and load data from multiple databases, validate integrity and prepare modeling datasets in a big-data compute environment as applicable
• Work with complex data, conduct in-depth research to gain domain knowledge about the data; identify data issues, and propose solutions to improve data integrity; perform other database-related analyses and projects as requested
• Work with production and business technology teams in deployment of model solutions to business applications or databases
• Respond to ad-hoc requests from business partners to conduct data analysis to identify/quantify opportunities or address specific business questions
• Utilize emerging analytical and programming techniques to explore internal and external data; recommend how these additional data sources can be used to enhance existing data and provide additional insight
• Understand business context of the data and coordinate with data scientists in performing in-depth exploratory data analysis (EDA) and present data discovery results and findings with business partners and others
• Provide recommendations to data scientists to support complex predictive modeling projects

• 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling demonstrated through work or military experience; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
• 4+ years of SQL experience
• 4+ years of ETL (Extract, Transform, Load) Programming experience
• 2+ years of experience with data manipulation, cleansing, and transformation
• 2+ years of Python experience
• 2+ years of PySpark experience
• 3+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map

• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• 1 + years of machine learning experience

• Experience working with Data Scientist teams for developing data pipelines
• Experience working with big data infrastructure and tools (e.g., Hadoop, Spark, Hive, H2O).
• Strong programming skills using SQL, Python with ability to manipulate data for analytical purposes and conduct statistical data analysis.
• Knowledge of statistical techniques (e.g., probability, multivariate data analysis, regression, PCA, time-series analysis) and experience using machine learning algorithms.
• Exposure to deep learning model deployment will be plus
• Exceptional analytical skills with high attention to detail and accuracy; strong acumen proactively diagnosing and resolving data issues to ensure accuracy and completeness.
• Prior experience in a role requiring collaboration across multiple functions within an organization, ability to translate and summarize complex data into understandable, actionable information and recommendations.
• Proven ability to drive each project to completion with minimal guidance while effectively managing multiple projects at a time, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
  

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.
Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Benefits

Visit https://www.wellsfargo.com/about/careers/benefits for benefits information.