Data Scientist II - Product Owner at Bank of America
New York, NY 10001
About the Job
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
Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world
We’re devoted to being a diverse and inclusive workplace for everyone
We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.Bank of America believes both in the importance of working together and offering flexibility to our employees
We use a multi-faceted approach for flexibility, depending on the various roles in our organization.Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference
Join us!Job Description Details:The Data and AI team within Global Payment Solutions at Bank of America is looking for a Data Science Product Owner (DSPO) that is a self-starter who can translate complex concepts and generate actionable insights.Who we are:The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world
We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale
At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins
For many of our projects, we begin by hosting “think tank” like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI
Once a problem is sculpted and the solution framework is developed, we get together as a team and build.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 GTS business
Some examples include:A revolutionary approach leveraging advanced statistical methods to identify the best product a client would likely want to hear about to increase their treasury efficiencyA 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 questionsA comprehensive AI model that helps to move foreign currency conversion “up the payment stream” and away from the beneficiary banksApplying 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 clientsWho 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:We are a small team working towards massive goals
You will be responsible for wearing many hats:Data Scientist – Deep expertise in data science frameworks and methodologiesProduct Owner – Translate core business needs and drive requirements and design; Validate and test to ensure solution meets requirement/designProject Manager – Drive a project through to completion end to end; coordinate and manage all necessary teams / leads to drive forward progress while managing project and solution risksProduct Manager – Work and communicate with stakeholders to understand core business needsAdditional Responsibilities: Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutionsYou will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPSAs the DSPO, you will be responsible for the success and improvement of the tools 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 collect information on the Data Science team’s requirements through surveys, conversations, feedback sessions, and automated reportingYou will work closely with Data Scientists to set technical strategy and prioritize development workDrive projects through to completion end to end following core principles of product development lifecycle and project management methodologiesRequired Qualifications: Minimum of product management or consulting experience working in a highly technical environmentExtensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things workSolid understanding of data structures and algorithms with substantial Python experienceUnderstanding of how to frame a data science problem and a high level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)Take feedback and transform it into strategic action.Desired Qualifications:Data visualization tools experience, such as D3.js, GGplot, and MatplotlibGraduate level degree in a quantitative field such as, computer science, math, and physicsMinimum Education Requirements: Bachelor’s degree in a quantitative field such as: computer science, math, and physics with coursework in data science or equivalent work experience.Skills:Verbal Communication SkillsTechnical Design SkillsDocumentation SkillsCritical Thinking SkillsShift:1st shift (United States of America)Hours Per Week: 40Pay Transparency detailsUS - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)Pay and benefits informationPay range$125,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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.SummaryLocation: New York; CharlotteType: Full time
Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world
We’re devoted to being a diverse and inclusive workplace for everyone
We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.Bank of America believes both in the importance of working together and offering flexibility to our employees
We use a multi-faceted approach for flexibility, depending on the various roles in our organization.Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference
Join us!Job Description Details:The Data and AI team within Global Payment Solutions at Bank of America is looking for a Data Science Product Owner (DSPO) that is a self-starter who can translate complex concepts and generate actionable insights.Who we are:The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world
We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale
At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins
For many of our projects, we begin by hosting “think tank” like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI
Once a problem is sculpted and the solution framework is developed, we get together as a team and build.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 GTS business
Some examples include:A revolutionary approach leveraging advanced statistical methods to identify the best product a client would likely want to hear about to increase their treasury efficiencyA 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 questionsA comprehensive AI model that helps to move foreign currency conversion “up the payment stream” and away from the beneficiary banksApplying 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 clientsWho 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:We are a small team working towards massive goals
You will be responsible for wearing many hats:Data Scientist – Deep expertise in data science frameworks and methodologiesProduct Owner – Translate core business needs and drive requirements and design; Validate and test to ensure solution meets requirement/designProject Manager – Drive a project through to completion end to end; coordinate and manage all necessary teams / leads to drive forward progress while managing project and solution risksProduct Manager – Work and communicate with stakeholders to understand core business needsAdditional Responsibilities: Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutionsYou will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPSAs the DSPO, you will be responsible for the success and improvement of the tools 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 collect information on the Data Science team’s requirements through surveys, conversations, feedback sessions, and automated reportingYou will work closely with Data Scientists to set technical strategy and prioritize development workDrive projects through to completion end to end following core principles of product development lifecycle and project management methodologiesRequired Qualifications: Minimum of product management or consulting experience working in a highly technical environmentExtensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things workSolid understanding of data structures and algorithms with substantial Python experienceUnderstanding of how to frame a data science problem and a high level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)Take feedback and transform it into strategic action.Desired Qualifications:Data visualization tools experience, such as D3.js, GGplot, and MatplotlibGraduate level degree in a quantitative field such as, computer science, math, and physicsMinimum Education Requirements: Bachelor’s degree in a quantitative field such as: computer science, math, and physics with coursework in data science or equivalent work experience.Skills:Verbal Communication SkillsTechnical Design SkillsDocumentation SkillsCritical Thinking SkillsShift:1st shift (United States of America)Hours Per Week: 40Pay Transparency detailsUS - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)Pay and benefits informationPay range$125,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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.SummaryLocation: New York; CharlotteType: Full time
