Senior Manager, Data Science

About the job

Make an impact with NTT DATA Join 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 DATA The Senior Manager, Data Science is a senior management role accountable for operationally managing other seasoned or senior Data Scientists / Data Analysts. In addition to managing a team, this role applies and inspires the adoption of data science and analytics within the organization. The primary responsibility of this role is to manage data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. This senior management role is responsible for fostering a collaborative and high-performing culture across the team(s) within their remit. Key responsibilities: • Manages a team of Data Scientists / Data Analysts to ensure achievement of team objectives/KPIs and continuously coaches the team to help them understand and apply data to solve business solutions. • Identifies opportunities for leveraging data to drive business solutions. • Provides guidance in the research, design, implementation and deployment of scalable data analytics vision and machine learning solutions to challenge complex business issues. • Provides guidance in the enhancement of data collection procedures to include information that is relevant for building analytic systems. • Provides guidance to process, clean, and verify the integrity of data used for analysis, and building algorithms necessary to find meaningful answers. • Perform analysis using programming languages or statistical packages such as Python and R etc. • Guides on the mining and analysis of data to drive optimization and improvement of business strategy. • Provides guidance to develop scalable and highly available applications leveraging the latest tools and technologies. • Creatively visualizes and effectively communicates results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. • Manages the development of SQL Queries for reports and dashboards. • Analyzes relational and transactional databases to provide data analysis and presents results in a clear manner. • Provides guidance on the creation of documentation around processes and procedures and manages code reviews. • Applies industry standards best practices to development activities and continuously ensures the team remains abreast of latest technology and tools in the area of data science. To thrive in this role, you need to have: • Excellent knowledge of data modeling, 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. • Ability to translate technical findings clearly to non-technical team business stakeholders to enable informed decision-making. • Ability to think strategically about how to use data to drive competitive advantages. • Excellent management and leadership skills. Academic qualifications and certifications: • Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.

Requirements

• Data Modeling
• Statistical Methods
• Machine Learning Techniques
• Python
• R

Qualifications

• Bachelor’s degree in Data Science or related field

Preferred Technologies

• Data Modeling
• Statistical Methods
• Machine Learning Techniques
• Python
• R

About the company

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers.