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Data Scientist - REMOTE

Work from home Full-time role Hiring

Req ID: 266912 NTT DATA Services 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. We are currently seeking a Data Scientist - REMOTE to join our team in Plano, Texas (US-TX), United States (US). We look forward to welcoming an innovative and skilled Data Scientist to our team, where you will have the chance to make a meaningful impact and contribute to the continued growth and success of Aspirent, part of NTT DATA. Key Responsibilities: Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction. Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders. Bring innovative thinking, resourcefulness leveraging best... practices and creativity to achieve successful client outcomes. Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered. Work with data sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments. Implement batch and real-time model scoring. Assemble large, complex data sets that meet functional / non-functional business requirements. Apply business knowledge to analyze data, develop reports and solve problems ·Perform ad hoc analyses of data depending on business needs. Participate in the analysis and resolution of issues related to information flow and content with data stakeholders. Basic Qualifications: 4+ years of experience supporting data science projects in a consulting environment. 4+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Statistics AI/ML ML Ops 3+ years of experience using Python and/or R to analyze disparate datasets. Undergraduate degree or equivalent combination of education and work experience. Ability to travel at least 25%. Preferred Skills: Master’s degree preferred. 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. Professional verbal and written communication Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $98,700 to $148,100. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. About NTT DATA Services NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients’ long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team Apply Job!

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