Job
Description
Your day at NTT DATA The 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 youll be doing Key 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, pandas 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. Creates SQL queries for the analysis of data and visualize the output of the models. Creates documentation around processes and procedures and manages code reviews. Accountable for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Seasoned in data modelling, statistical methods and machine learning techniques. Ability to thrive in a dynamic, fast-paced environment. Quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Good understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Able to apply data science principles through a business lens. Desire to create strategies and solutions that challenge and expand the thinking of peers and business stakeholders. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming (Python) certification preferred. Agile certification preferred. Required 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 (Python, etc.). Seasoned experience working in databases (MySQL, Microsoft SQL Server, Azure Synapse, MongoDB) Seasoned experience working with and creating data architectures. Seasoned experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Seasoned experience visualizing and/or presenting data for stakeholder use and reuse across the business. Seasoned experience on working with API (creating and using APIs) Automation experience using Python scripting, UIPath, Selenium, PowerAutomate. Seasoned experience working on Linux operating system (Ubuntu)
