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Principal Data Science Engineer

Company: Wells Fargo
Location: Charlotte
Posted on: September 23, 2022

Job Description:

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.Learn more about the career areas and lines of business at . About this role: Wells Fargo is seeking a Principle Engineer in technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT) within the Investment Portfolio (IP) technology team to lead all data science activities while leveraging our data science tools and technologies to meet business objectives , create a data science platform strategy and advance our Artificial Intelligence (AI) and Machine Leaning (ML) initiatives. This senior engineer will mentor a large community of data analysts and scientists and provide technical leadership to and partnership with technology teams to build out data science pipelines to support continuous testing, optimization, and implementation of new models. In this role, you will:

  • Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications:
    • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
    • 7+ years of python experience
    • 5+ years of experience with Jupyter/JupyterHub
    • 5+ years of experience working within a data science environment
    • 3+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML)Desired Qualifications:
      • Experience with one or a combination of the following cloud platform applications: Google Cloud Platform (GCP), Azure
      • Experience building cloud native applications
      • Experience with version control, source code repositories and CI/CD pipelines to include: Git/ Github, Jenkins
      • Experience with data science tools to include: Python, Jupyter, JupyterHub, Airflow, MLFlow, Sphinx, pandas, sqlalchemy , tensorflow, pytest
      • Experience with governance and control processes within a large financial institutionLocations:
        • 150 E 42nd St., New York, NY 10017
        • 333 Market St., San Francisco, CA 94105
        • 301 S Tryon St., Charlotte, NC 28282Pay Range$144,400.00 - $300,000.00 AnnualBenefits
          • Information about Wells Fargo's employee benefits We Value Diversity At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Keywords: Wells Fargo, Charlotte , Principal Data Science Engineer, Engineering , Charlotte, North Carolina

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