Senior Data Scientist

We are currently seeking a Senior Data Scientist to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). Job Duties: NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be comfortable with the following: - Driving new data insights to uncover business opportunities & revenue streams. - Have a firm understanding of statistics and data visualization for communication. - Has an understanding of business growth areas & how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions. - Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions - 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. - Be experienced in Data Wrangling and Dynamic Model Tuning. 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.