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Data Scientist (Analytic Consultant 4)

Company: Wells Fargo Bank
Location: Gastonia
Posted on: January 10, 2020

Job Description:

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. 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 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 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, 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. KEY RESPONSIBILITIES INCLUDE:

  • 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, 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
    • 6+ 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 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling
    • 3+ years of SQL experience
    • 3 + years of experience using quantitative machine learning techniques
    • 3+ years of Python experience

      Desired Qualifications
      • 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
      • 3+ years of statistical modeling experience
      • 1+ year of Big Data experience
      • Experience 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, Scala 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.


          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.

Keywords: Wells Fargo Bank, Gastonia , Data Scientist (Analytic Consultant 4), Professions , Gastonia, North Carolina

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