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Job Description

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, Karntaka (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

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

About Company

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. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. 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 also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Job ID: 107040669

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