Data Scientist

Company:
Location: Charlotte, NC 28202

*** Mention DataYoshi when applying ***

Job Description:

Job Desription

At Bank of America we are investing heavily in transformational programs that empower the bank’s commercial clients to do business with the bank “whenever, wherever and however” they want; as well as advance banker efficiency through automation, simplification and scale. Leveraging human-centered design, seamless omni-channel experiences and data-driven insights powered by Artificial Intelligence (AI), GBAM Digital is helping to shape the future of commercial banking.

The Wholesale Credit Data Scientist is responsible for working across teams to develop, execute, and evaluate actionable data-driven solutions in a consulting-style environment that places a premium on creative problem solving and client interaction. The role works on strategic, highly visible projects with internal clients from Commercial lines of business. It is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.

The successful candidate is a self-starter who can design, plan and execute on projects to meet specific client needs. The position offers an opportunity to:

  • Apply strategic, analytical and data science skills to broad range of challenges faced by the enterprise

  • Develop deep domain knowledge of various financial services and products including credit products, treasury products and traded products

  • Deepen market knowledge of various client and product segments from small business, middle market, large corporate, commercial real estate, dealer finance and asset based lending

  • Gain technical expertise in cutting edge technologies and methods for data science and big data

  • Grow leadership skills by managing analytical needs and projects, and by socializing new ideas across the firm

As the Data Scientist you will:

  • Partner with Analytics Capability lead to identify and prioritize advanced analytics needs based on business value and alignment to strategy and identify existing capabilities for leverage

  • Analyze and experiment with new, potential high-value data sources

  • Develop Proof of Concept predictive and prescriptive analytics based on ML / AI tools and techniques

  • Establish process and controls for MRM / AI Governance compliance

  • Investigate and evaluate new analytics tools and technology

  • Partner with Technology for implementation and scale of analytical capabilities

  • Work with stakeholders to translate business problems into data solutions as well as advise on the incorporation of solutions into operational capabilities

  • Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent client engagement skills

  • Pivot quickly as client guidance evolves, always keeping the ultimate project objective in mind. Manage evolving project requirements while continuously learning quickly on-the-job

  • Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style

  • Develop preliminary hypotheses rapidly, focusing on the most important insights to meet the business need

  • Be a story teller capable of delivering practical data insights in a compelling manner actionable by senior leadership

  • Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations

  • Become trusted advisor and thought leader on business data and analytical techniques

  • Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones

  • Demonstrate intellectual curiosity for solving difficult business problems

  • Drive data science and analytics strategies for clients and partners including recommendations on analytical products, services, protocols, and standards

Required Skills:

  • Undergraduate or advanced degree in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification, or industry experience in analytical roles (e.g., consulting, modeling, data engineering, data analysis)

  • Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic

  • Ability to access, query and analyze relational data through proven experience writing and executing SQL

  • Proficient in Python and standard data science packages (SciPy, NumPy, Pandas, scikit-learn, matplotlib)

  • Experience carrying out various aspects of the data science project lifecycle including exploratory analysis, data cleaning, preparation and annotation, ML pipeline design and development, model evaluation

  • Proficient in building dashboards (Tableau)

  • Influencer with great interpersonal skills and proven ability to achieve alignment across a range of different views and interests

  • Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives

  • Strong aptitude for technical concepts and ideas

  • Thought leader in data science or analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision

  • Understanding of Agile software development and operating model and understanding of Product Owner’s role within the Agile framework

  • Financial services background preferred, as is broad understanding of Commercial systems and information repositories

  • Demonstrates highly proficient skills in each of the following areas: quantitative, analytics, and technical skills

  • Experience with building, deploying or maintaining APIs or alerting / messaging frameworks a plus

  • Experience working with or managing solutions in Alteryx, Trifacta, or similar tools a plus

  • Experience with C3 and/or DataRobot a plus

  • Experience with key Bank of America information repositories such as WCADS, CRP, PME, MRA, GDH, IBK, Navigator, Bolt or TRADS a plus

  • Two years of practical experience leveraging Data Science required with five years experience preferred

  • Travel 10% or less of time

Shift:

1st shift (United States of America)

Hours Per Week:

40

*** Mention DataYoshi when applying ***

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