Data Scientist

NTT is a leading global IT solutions and services organisation that brings together people, data and things to create a better and more sustainable future.

In today’s ‘iNTTerconnected’ world, connections matter more now than ever. By bringing together talented people, world-class technology partners and emerging innovators, we help our clients solve some of the world’s most significant technological, business and societal challenges.

With people at the heart of our success, NTT is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters.

**Want to be a part of our team?**

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.

Interacts with product and service teams to identify questions and issues for data analysis and experiments.

Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

**Working at NTT**

The primary responsibility of this job is to create and deliver data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.

**Key Roles and Responsibilities**:

- Collaborate with business stakeholders to identify opportunities for leveraging data to drive business solutions
- Research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge complex business issues
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying 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.
- Mine and analyze data to drive optimization and improvement of business strategy
- Creatively visualize and effectively communicate results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business
- Take ideas to 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
- Develop SQL Queries for reports and dashboards
- Analyze relational and transactional databases to provide data analysis, and present results in a clear manner
- Create documentation around processes and procedures and manage code reviews
- Work on data set to ensure solutions are successfully executed, within agreed upon time frames

**Knowledge, Skills, and Attributes**:

- Subject matter expertise in data modeling
- Theoretical understanding of statistical methods and machine learning techniques
- Ability to thrive in a dynamic, fast-paced environment
- Excellent quantitative and qualitative analysis skills
- Strong desire to acquire more knowledge in order to keep up to speed with the ever-evolving field of data science
- Strong curiosity to sift through data to find answers and more insights
- Solid understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face
- Ability to clearly and fluently translate technical findings 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
- Theoretical understanding of statistical methods and machine learning techniques
- Self-driven and able to work independently, yet acts as a team player
- Strong 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

**Academic Qualifications and Certifications**:

- Degree in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field (preferably a bachelor’s degree or equivalent)
- Relevant programming qualifications and/or certifications
- Relevant Agile certification is preferable

**Required Experience**:

- Demonstrable experience with one or more programming languages (e.g. Python), statistical packages (e.g. R), and database languages (e.g. SQL)
- Demonstrable experience with data warehouse and data lake technical architectures, infra