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Your day at NTT DATA

The Senior Manager, Data Science is a senior people 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 NTT. 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 are created and delivered.

What you'll be doing

Key Roles and Responsibilities:

• Manage a team of Data Scientists / Data Analysts to ensure achievement of team objectives/KPIs

• Identify opportunities for leveraging data to drive business solutions

• Provide guidance in the research, design, implementation and deployment of scalable data analytics vision and machine learning solutions to challenge complex business issues

• Manage company’s data with third party sources of information when needed

• Provide guidance in the enhancement of data collection procedures to include information that is relevant for building analytic systems

• Provide 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

• Provide 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

• Set operational objectives for successful launch by leading and mentoring diverse, geo-distributed teams through innovation, bootstrapping, pilot, production, scaling, and maintenance phases with multiple stakeholders to the highest levels of quality and performance

• Manage the development of SQL Queries for reports and dashboards

• Analyse relational and transactional databases to provide data analysis, and present results in a clear manner

• Provide guidance on the creation of documentation around processes and procedures and manage code reviews

• Applies industry standards best practices to development activities

• Provide guidance to working on data set to ensure solutions are successfully executed, within agreed upon time frames

• Continuously coach and mentor team to understand and apply data to solve business solutions

• Continuously ensure team remains abreast of latest technology and tools in the area of data science

Knowledge, Skills and Attributes:

• Excellent knowledge of data modelling

• 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 and analytics

• Curiosity to sift through data to find answers and more insights

• Excellent knowledge of the information technology industry within a matrixed organisation and the typical business problems such organisations 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 everyone around you

• Ability to think strategically about how to use data to drive competitive advantages

• Excellent leadership skills

Academic Qualifications and Certifications:

• Bachelor’s degree or related in a relevant field such Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science etc.

• Relevant programming certification(s)

• Agile certification preferable

Required Experience:

• Extended demonstrable experience with one or more programming languages (e.g. Python) and database languages (e.g. SQL)

• Extended demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools

• Extended demonstrable experience in data modelling

• Extended demonstrable experience idesigning tabular models in Analysis Services

• Extended demonstrated experience with Azure Synapse Analytics, SQL pools, data lakes.

• Extended demonstrated experience in advanced Power BI, including complex DAX expressions

• Extended demonstrable experience of data migration skills with Azure Data Factory and Integration Services

• Extended demonstrable experience in Elastic search, Scoring, and recommendation on very large volumes of data

• Extended demonstrated experience with Agile Development Methodologies and Test-Driven Development

• Solid line manager experience leading and managing a team of Data Scientists / Data Analysts

Workplace type :

Hybrid Working

About NTT DATA

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.