Search for Data Scientist roles in Charlotte, NC, requiring 3+ years of experience, with skills in Python and Natural Language Processing, on a full-time schedule.

Okay, I've searched for Data Scientist roles in Charlotte, NC requiring 3+ years of experience, with Python and Natural Language Processing skills, on a full-time schedule. I have found several positions matching your criteria.

Data Scientist

Charlotte, NC

3 years + Experience

Python

Natural Language Processing

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Bank of America, situated within the Global Payment Solutions (GPS) Data and AI team, is fundamentally designed to harness advanced data analytics, machine learning, and generative AI to drive revenue growth, implement risk management strategies, and innovate business solutions. Beyond technical delivery, the role requires a strategic mindset to identify and frame business problems in collaboration with cross-functional stakeholders. Candidates must navigate complex, large-scale datasets, translating findings into actionable recommendations that influence product development, pricing strategies, and client servicing operations. The emphasis on generative AI and NLP highlights the cutting-edge nature of the work, where success depends on balancing deep technical expertise with strong communication and leadership skills to integrate solutions into broader business frameworks. The candidate will face challenges around ambiguity, requiring resilience and disciplined problem-solving in a fast-paced, innovation-driven environment. Performance likely hinges on the ability to generate measurable business impact through data-driven insights, optimize machine learning model deployment, and foster effective collaboration across data science, engineering, and business teams within GPS.

Company Analysis:

Bank of America stands as a dominant player within the financial services industry, with a clear strategic commitment to responsible growth driven by innovation and inclusion. Within this context, the GPS Data and AI team represents a forward-leaning segment of the firm focused on embedding AI at scale to transform payment solutions globally. The company culture emphasizes diversity, resilience, and accountability—key traits that align well with the demands of a data science role that pushes boundaries using emerging technologies like generative AI. The organization values ongoing learning, cross-team collaboration, and a mission-driven approach that supports both individual growth and community impact. Given the size and complexity of Bank of America, this role requires navigating a sophisticated, matrixed environment with visibility that can influence core business products and services. The strategic nature of this hire suggests an intent to accelerate innovation in payments through AI, making this an exciting opportunity for candidates who thrive at the intersection of technical mastery and business acumen, eager to contribute within a globally influential, yet continually evolving financial institution.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to translate complex data insights into actionable business recommendations for non-technical stakeholders.
Describe a challenging project where you implemented generative AI or NLP techniques. What approach did you take, and what was the outcome?
How have you managed conflicting priorities or requirements when working cross-functionally with business and engineering teams?
Can you share an experience where you had to adapt quickly to new technology or data science methodologies? How did you ensure successful adoption?
Walk me through your process for framing a machine learning problem and choosing the right algorithm for a new project.
How do you validate and monitor machine learning models in production to ensure reliability and performance over time?
Bank of America’s GPS team uses generative AI for a variety of innovative projects. How would you approach developing a generative AI-powered search platform integrating structured and unstructured data?
Explain how you would design and analyze an A/B test for a new data science-driven feature within a payment platform.
Imagine a scenario where a deployed machine learning model unexpectedly performs poorly after launch. What steps would you take to diagnose and address the issue?
Given Bank of America's commitment to responsible growth, how would you incorporate ethical considerations and risk management into your data science projects?
Why are you interested in joining Bank of America’s Global Payment Solutions Data and AI team, specifically?
How do your personal values align with Bank of America’s mission to foster diversity, inclusion, and community impact?
What excites you most about working in a highly regulated and innovative financial services environment like Bank of America?
Can you describe your ideal work culture and how you see yourself thriving within Bank of America’s organizational environment?
Do you have any questions about how the Data and AI team collaborates with other parts of Bank of America or about the strategic direction of GPS?

Job Details

Overview Company

Data Scientist

Lensa

3 months ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Bank of America is seeking a Data Scientist to join their team in Charlotte, NC. The role involves reviewing and interpreting large datasets to uncover revenue generation opportunities and developing effective risk management strategies.

About the Role

As a Data Scientist, you will work with lines of business to comprehend problems, utilize sophisticated analytics, deploy advanced techniques to devise solutions, and present recommendations based on findings. You will demonstrate leadership, resilience, accountability, and a commitment to fostering responsible growth. The role involves collaborating with data engineers, data scientists, and other internal teams to tackle machine learning problems and implement A/B testing.

About You

Required:

Bachelor’s degree in a quantitative field such as computer science, math, or physics.
Minimum of 3 to 5 years of hands-on data science experience in a highly technical environment.
Extensive experience with Natural Language Processing techniques and Generative AI frameworks.
Strong understanding of data structures and algorithms with substantial Python experience.
Ability to frame a data science problem and a deep understanding of key machine learning algorithms.
Critical thinking skills and strong verbal, communication, technical design, and documentation skills.

Preferred:

Graduate level degree in a quantitative field or equivalent work experience.
Experience with data visualization tools such as D3.js, GGplot, and Matplotlib.

Lensa

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Charlotte, NC