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 have one goal: to satisfy our customers' financial needs and help them achieve their dreams. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Data Management and Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers' financial needs.
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.
Understand business context of the data and perform 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.
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 unstructured and semi-structured data; recommend how these additional data sources can be used to enhance existing data and provide additional insight.
Work with complex databases, conduct in-depth research to gain domain knowledge about the data and identify data issues, and propose solutions to improve data integrity; perform other database-related analyses and projects as requested.
8+ years of experience in one or a combination of the following: reporting, analytics, or modeling; 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
5+ years of experience with data manipulation, cleansing, and transformation
4+ years of Hadoop experience
2+ years of Python experience
2+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
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
Other Desired Qualifications
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.
Internal Number: 5547122
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through 7,400 locations, more than 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 32 countries and territories to support customers who conduct business in the global economy. With approximately 260,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 29 on Fortune’s 2019 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
www.wellsfargo.com | Twitter: @WellsFargo