Senior Data Scientist

Req ID: 365630\n\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\n\nWe are currently seeking a Senior Data Scientist to join our team in Tampa, Florida (US-FL), United States (US).\n\nJob Duties: NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be comfortable with the following: \n\n\\- Driving new data insights to uncover business opportunities \u0026 revenue streams. \n\n\\- Have a firm understanding of statistics and data visualization for communication. \n\n\\- Has an understanding of business growth areas \u0026 how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions. \n\n\\- Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions \n\n\\- Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable. \n\n\\- Be experienced in Data Wrangling and Dynamic Model Tuning. \n\nKey Responsibilities: \n\n\u2022 Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning \n\n\u2022 Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction. \n\n\u2022 Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders. \n\n\u2022 Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes. \n\n\u2022 Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered. \n\n\u2022 Work with data sets of varying degrees of size and complexity including both structured and unstructured data. \n\n\u2022 Piping and processing massive data-streams in distributed computing environments. \n\n\u2022 Implement batch and real-time model scoring. \n\n\u2022 Assemble large, complex data sets that meet functional / non-functional business requirements. \n\n\u2022 Apply business knowledge to analyze data, develop reports and solve problems \u00b7Perform ad hoc analyses of data depending on business needs. \n\n\u2022 Participate in the analysis and resolution of issues related to information flow and content with data stakeholders. \n\nBasic Qualifications: \n\n\u2022 7+ years of experience supporting data science projects in a consulting environment. \n\n\u2022 7+ year(s) of experience participating in projects that focused on one or more of the following areas: \n\no Predictive Analytics \n\no Data Design \n\no Statistics \n\no AI/ML \n\no ML Ops \n\n\u2022 7+ years of experience using Python and/or R to analyze disparate datasets. \n\nPreferred Skills: \n\n\u2022 Master\u2019s degree preferred. \n\n\u2022 Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution. \n\n\u2022 You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible \"can-do\" attitude, and a commitment to success. \n\n\u2022 Professional verbal and written communication. \n\n\u2022 Undergraduate or Graduate degree preferred \n\n\u2022 1+ year of Gen AI / LLM hands on development experience \n\n\u2022 Ability to drive individual hands on development plus oversee more junior developers / engineers\n\nMinimum Skills Required: \n\n\u2022 7+ years of experience supporting data science projects in a consulting environment. \n\n\u2022 7+ year(s) of experience participating in projects that focused on one or more of the following areas: \n\no Predictive Analytics \n\no Data Design \n\no Statistics \n\no AI/ML \n\no ML Ops \n\n\u2022 7+ years of experience using Python and/or R to analyze disparate datasets.\n\nAbout NTT DATA\n\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world\u0027s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R\u0026D.\n\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client\u2019s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\n\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you\u0027d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.\n