Job Description
Make an impact with NTT DATAJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATAThe Data Scientist is a seasoned subject matter expert, tasked with participating in the adoption of data science and analytics within the organization.The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What you'll be doingKey Responsibilities:Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.Designs and enhances data collection procedures to include information that is relevant for building analytic systems.Accountable for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Accountable for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.Accountable for performing analysis using programming languages or statistical packages such as Python and R etc.Designs scalable and highly available applications leveraging the latest tools and technologies.Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
Responsibilities + Skills
Education
Seasoned in data modelling, statistical methods and machine learning techniques.Ability to thrive in a dynamic, fast-paced environment.Quantitative and qualitative analysis skills.
Experience
Seasoned experience in a data science position in a corporate environment and/or related industry.Seasoned experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.Seasoned experience in programming languages (R, Python, etc.).