Data Scientist - Bank of America : Job Details

At Bank of America, each day brings innovation and opportunity. We are dedicated to turning technology advances into treasury solutions for our clients globally - across all segments and industries. We are looking for highly motivated, self-starters who can advocate for our clients in providing liquidity management, payments and receipts, trade and supply chain finance, FX and commercial card services, by complementing high tech with a personalized touch. Challenge the status quo and influence peers with diverse points of view. Forward thinkers with ability to see what's next in treasury management. The future of treasury management is here at Bank of America. Powered by people. Driven by Technology.The GTS Cross Product Solutions 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. Our models either in production or in active development leverage cutting edge methods and their applications span across a wide spectrum of business challenges. We are not focused on any niche sets of problems, our mandate is across the entire GTS business (payments, liquidity, pricing, client servicing, etc.) which includes search functionality, optimization, business efficiency and more, requiring a wide range of data science techniques to solve.Required Skills: Must have these skills to be minimally qualified.Bachelor's degree in a quantitative field such as: computer science, math, and physics is preferredExtensive experience with common data science toolkits, such as Python, Pandas, NumPy, and SklearnStrong understanding of regression and classification techniquesGreat applied statistics skills, such as distributions, statistical testing, etc.Inclusive and Inspiring: Seeking motivating team players who value collaboration, celebrating shared success and who actively seek and appreciate diverse thoughts and backgroundsAuthentic and Passionate: Seeking highly engaged teammates whose intensity and intentions align and are enthusiastic about the work we are doing for our clients and in our communitiesInnovative and Curious: Seeking teammates with out-of-the box ideas and solutions, who embrace change with a future-forward mindset, and are looking to challenge the status quoConfident and Agile: Seeking strong communicators who value giving and receiving feedback, easily build relationships, and who are quick thinking, flexible, and always learning and sharing knowledgeDesired Skills:Graduate level degree in a quantitative field such as, computer science, math, and physicsExperience with Excel and PowerPointExperience with data visualization tools, such as D3.js, GGplot, and MatplotlibProficiency in using query languages such as SQL and Hive and NoSQL databases, such as MongoDB and CassandraShift:1st shift (United States of America) Job Description:At Bank of America, each day brings innovation and opportunity. We are dedicated to turning technology advances into treasury solutions for our clients globally - across all segments and industries. We are looking for highly motivated, self-starters who can advocate for our clients in providing liquidity management, payments and receipts, trade and supply chain finance, FX and commercial card services, by complementing high tech with a personalized touch. Challenge the status quo and influence peers with diverse points of view. Forward thinkers with ability to see what's next in treasury management. The future of treasury management is here at Bank of America. Powered by people. Driven by Technology.The GTS Cross Product Solutions 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. Our models either in production or in active development leverage cutting edge methods and their applications span across a wide spectrum of business challenges. We are not focused on any niche sets of problems, our mandate is across the entire GTS business (payments, liquidity, pricing, client servicing, etc.) which includes search functionality, optimization, business efficiency and more, requiring a wide range of data science techniques to solve.Required Skills: Must have these skills to be minimally qualified.Bachelor's degree in a quantitative field such as: computer science, math, and physics is preferredExtensive experience with common data science toolkits, such as Python, Pandas, NumPy, and SklearnStrong understanding of regression and classification techniquesGreat applied statistics skills, such as distributions, statistical testing, etc.Effective communication skillsInclusive and Inspiring: Seeking motivating team players who value collaboration, celebrating shared success and who actively seek and appreciate diverse thoughts and backgroundsAuthentic and Passionate: Seeking highly engaged teammates whose intensity and intentions align and are enthusiastic about the work we are doing for our clients and in our communitiesInnovative and Curious: Seeking teammates with out-of-the box ideas and solutions, who embrace change with a future-forward mindset, and are looking to challenge the status quoConfident and Agile: Seeking strong communicators who value giving and receiving feedback, easily build relationships, and who are quick thinking, flexible, and always learning and sharing knowledgeDesired Skills:Graduate level degree in a quantitative field such as, computer science, math, and physicsExperience with Excel and PowerPointExperience with data visualization tools, such as D3.js, GGplot, and MatplotlibProficiency in using query languages such as SQL and Hive and NoSQL databases, such as MongoDB and CassandraShift:1st shift (United States of America) Hours Per Week:40About Us Bank of America is committed to help employees through the transition period when they're displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity.Regardless of the position you are interested in, the starting points to building your resume are the same:1.Determine the job or types of jobs you want to do and research their responsibilities and qualifications.2.Think about why you can do the job and make a list of your skills that are relative to the job.3.Identify experiences or accomplishments that show your proficiency in the skills required for the job.4.Summarize your abilities, accomplishments and skills into a brief, concise document.Considerations when writing a resume•Do be brief. Resumes should be 1-2 pages in length.•Do be upbeat and active in your wording.•Do emphasize what you have done clearly and concretely.•Do be neat and well organized.•Do have others proofread and critique your resume. Spell check. Make it error free.•Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible.•Don't be dishonest, always tell the truth about yourself in the most flattering light.•Don't include salary history or requirements.•Don't include references.•Don't include accomplishments that do not support your professional goals.• Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.)•Don't use italics, underlining, shadows or other fancy treatments.Seven steps to a successful interview1.Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview?2.Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available?3.Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight.4.Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down.5.Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks.6.Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own great responses with others or in front of a mirror until you appear relaxed and at ease.7.Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.#J-18808-Ljbffr