Data Scientist II

Reposted Yesterday
2 Locations
In-Office
165K-246K Annually
Mid level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
Build and deploy machine learning solutions (recommendation systems, NLP, time series, optimization), collaborate with stakeholders and engineers, set technical strategy for data-science products, run A/B tests, and communicate results to drive business impact.
Summary Generated by Built In

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

What we’re building:

The data science team (within GPS) is working on more than five projects that are driving/will drive significant impact across the GPS business. Some examples include:

  • A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients

  • A Generative AI powered “chatbot-like” search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions

  • A comprehensive AI model that helps to move foreign currency conversion “up the payment stream” and away from the beneficiary banks

  • Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients

Who we’re looking for:

If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.

You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties.

Responsibilities:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions

  • You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS

  • You will be responsible for the success and improvement of the aplications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"

  • You will work closely with other Data Scientists to set technical strategy and prioritize development work

Required Skills:

Strongly Preferred:

  • Bachelor’s degree in a quantitative field such as: computer science, math, and physics

  • You have 3-5 years of data science experience working in a highly technical environment

  • Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work

  • Solid understanding of data structures and algorithms with substantial Python experience

  • Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)

  • Critical thinking skills; able to take feedback and transform it into strategic action

  • Strong verbal, communication, technical design and documentation skills

Desired Skills:

Nice to have:

  • Graduate level degree in a quantitative field such as, computer science, math, and physics

  • Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib

Skills:

  • Agile Practices

  • Application Development

  • DevOps Practices

  • Technical Documentation

  • Written Communications

  • Artificial Intelligence/Machine Learning

  • Business Analytics

  • Data Visualization

  • Presentation Skills

  • Risk Management

  • Adaptability

  • Collaboration

  • Consulting

  • Networking

  • Policies, Procedures, and Guidelines Management

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range$165,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Skills Required

  • Bachelor's degree in a quantitative field (computer science, math, physics)
  • 3-5 years of data science experience in a highly technical environment
  • Extensive experience with Excel and PowerPoint
  • Substantial Python experience
  • Solid understanding of data structures and algorithms
  • High-level understanding of key machine learning algorithms (KMeans, boosting/bagging models) and problem framing
  • Experience with A/B testing and applied ML techniques (recommendation systems, time series forecasting, stochastic optimization)
  • Strong verbal, written communication, technical design and documentation skills
  • Critical thinking and ability to incorporate feedback into strategic action
  • Experience or familiarity with data visualization tools (D3.js, GGplot, Matplotlib)

Bank of America Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.

  • Healthcare Strength Health coverage is described as comprehensive, with medical, dental, vision, virtual care via Teladoc, wellness programs, and specialized support for cancer and menopause. Wellness credits and an always‑on EAP with in‑person sessions add to the depth of care.
  • Parental & Family Support New parents can access up to 26 weeks of leave, including 16 weeks fully paid for eligible teammates, alongside back‑up child and adult care. Family‑building resources and reimbursements (e.g., fertility, adoption, surrogacy) and a dedicated Life Event Services team extend support across life stages.
  • Equity Value & Accessibility Broad‑based equity through the Sharing Success program, including $1B in stock to nearly all non‑executive employees in January 2026, is intended to foster an ownership mindset. Stock awards (including RSUs) are a recurring component that aligns employees’ interests with shareholders.

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The Company
HQ: Charlotte, NC
208,000 Employees
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth. Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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