8 days old

Sr Data Scientist (Quantitative Analytics Specialist 4)

Charlotte, TX 78011
  • Job Code
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 prior to 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 want to satisfy our customers financial needs and help them succeed financially. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll 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 DMIs Enterprise Analytics and Data Science Team the central analytics group tasked with solving high-impact business challenges for the Enterprise and standing up cutting-edge analytical capabilities to be shared across Wells Fargos analytic community.

We are looking for a senior data scientist to join our team and help us solve challenging and interesting business problems through rigorous data analysis, predictive modeling, and design of complex analytic systems. In this highly technical role, you will support Enterprise Personalization Program. This initiative is focused on using ML/AI algorithms to develop personalized customer experience and marketing programs. As part of the core Personalization Data Science team, you will collaborate with other data scientists to generate innovative ideas, create hypotheses, design quantitative analyses and experiments, build predictive models using ML techniques, and generate business insight.

Conduct exploratory data analysis, mine data (e.g., clustering), and prepare modeling datasets from multiple data sources. Build, validate, and implement predictive models using machine learning algorithms (e.g., Random Forests, GBM, neural networks, SVM, Na ve Bayes Classifier), as well as traditional statistical modeling techniques (e.g., time series forecasting, linear and logistic regression).
Conduct statistical analyses, design in-market experiments, respond to ad-hoc requests from business partners to identify/quantify opportunities or address specific questions.
Present model results and analytic findings, lead discussions, provide insight and actionable recommendations to business partners to support data driven and evidence based decision-making.
Work with complex databases, conduct research to identify data issues, propose solutions to improve data integrity; perform other database-related analyses and projects as requested; collaborate with data engineers to help optimize data retrieval processes to support ML algorithm automation.
Utilize emerging analytic 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 models and provide additional insight.

Required Qualifications

4+ years of experience in an advanced scientific or mathematical fieldA master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science5+ years of Python experience5+ years of SQL experience5 + years of experience using quantitative machine learning techniques

Desired Qualifications

5+ years of statistical modeling experience1+ year of Big Data experienceExperience with Spark, Hive and Kafka

Other Desired Qualifications

Advanced degree in quantitative discipline (e.g., Statistics, Economics, Computer Science, Applied Mathematics).
Strong programming skills using advanced tools like Python, SAS, PySpark, H2O, Hive and/or SQL with ability to write efficient code to manipulate data for analytical purposes, conduct statistical analysis, and develop predictive models. Ability to learn new technologies quickly.
Advanced knowledge of statistical methods (e.g., probability, multivariate data analysis, regression, PCA, time-series analysis) and substantial hands-on experience with machine learning techniques, such as neural networks, random forests, SVM, GBM, ensemble learning, etc.
Experience designing experiments and building predictive models to support marketing initiatives (e.g., propensity models, net lift models, customer lifetime value models); experience in Financial Services industry is a plus.
Strong acumen diagnosing and resolving data issues to ensure accuracy and completeness.
Exceptional analytical, critical thinking, quantitative reasoning, and problem-solving skills with high attention to details and accuracy. Ability to solve complex technical problems to support effective business strategy.
Prior experience in a role requiring collaboration across multiple functions within a large, complex organization, strong business acumen, ability to think strategically and build effective business partnerships.
Proven ability to drive each project to completion with minimal guidance while effectively managing multiple projects at a time.

Street Address

AZ-Tempe: 1150 W Washington St - Tempe, AZCA-SF-Financial District: 333 Market St - San Francisco, CAMN-Minneapolis: 600 S 4th St - Minneapolis, MNNC-Charlotte: 11625 N Community House Road - Charlotte, NCTX-DAL-Downtown Dallas: 1445 Ross Ave - Dallas, TXNC-Charlotte: 401 S Tryon St - Charlotte, NCGA-Atlanta: 171 17th St Nw - Atlanta, GA


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.

Posted: 2020-03-21 Expires: 2020-04-20

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Sr Data Scientist (Quantitative Analytics Specialist 4)

Wells Fargo
Charlotte, TX 78011

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