Make an impact with NTT DATA
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Your day at NTT DATA
The Manager, Data Science is a management role accountable for managing junior level and seasoned 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 job is to manage data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.
This management role is responsible for fostering a collaborative and high-performing culture across the team(s) within their remit.
Key responsibilities:- Manage a team of Data Scientists / Data Analysts to ensure achievement of team objectives/KPIs and continuously coaches the team to understand and apply data to solve business solutions.
- Guides the enhancement of data collection procedures to include information that is relevant for building analytic systems.
- Provides input to process, clean, and verify the integrity of data used for analysis, and building algorithms necessary to find meaningful answers.
- Performs analysis using programming languages or statistical packages such as Python and R etc.
- Guides the mining and analysis of data to drive optimization and improvement of business strategy.
- Provides input 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.
- Takes 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.
- Manages the development of SQL Queries for reports and dashboards.
- Analyzes relational and transactional databases to provide data analysis, and present results in a clear manner.
- Guides the creation of documentation around processes and procedures and manage code reviews
- Applies industry standards best practices to development activities and continuously ensures team remains abreast of latest technology and tools in the area of data science.
- Provide input to working on data set to ensure solutions are successfully executed, within agreed upon time frames.
To thrive in this role, you need to have:- Good understanding of 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.
- Ability to think strategically about how to use data to drive competitive advantages.
- Excellent management skills.
Academic qualifications and certifications:- Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
- Relevant programming certification preferred.
- Agile certification preferred.
Required experience:- Advanced demonstrable experience with one or more programming languages, statistical packages, and database languages.
- Advanced demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
- Advanced demonstrated experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. (excellence in at least one of these is highly desirable).
- Advanced demonstrated experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Advanced demonstrable experience applying statistical methods and machine learning techniques to solve business problems.
- Advanced demonstrated experience with distributed data/computing tools such as Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
- Advanced demonstrated experience in working in micro-services architecture working with APIs development.
- Advanced demonstrable experience of full-stack software development with prolific coding abilities.
- Advanced demonstrable experience in Elastic search, Scoring, and recommendation on very large volumes of data.
- Advanced 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 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, with
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
application services. Our consulting and industry solutions help organizations and society move
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
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.
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