Data Scientist

Job Description Req ID:     NTT 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. We are currently seeking a Data Scientist to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Key Responsibilities:  Supplement the ML model migration team focusing on migration of the existing 80+ ML models to the new cloud environment, deploy models, perform quality testing, and evaluation of models, and then retrain/tune models as required for production 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.  Experience with Databricks, Pyspark, Azure Data Factory, GitHub, Azure Data Lake Storage (ADLS) Ability to travel at least 25%.  Preferred Skills:  Master’s degree preferred.  Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.  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.  Undergraduate or Graduate degree preferred  About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make 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 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'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Apply Listen to the story of Employee Voice Annette Barnabas Business Analysis Associate Director India Read more Vanathi Asok Director – Project and Application Services India Read more Swathi Sujir Business Operations Supervisor India Read more Apply Back to search results