Senior Data Science Architect

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 Data Science Architect 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, business requirements, and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and recommends 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. The primary responsibility 1. Data Strategy: Develop and implement an enterprise-wide data strategy aligned with business objectives. 2. Data Modeling: Create and maintain data models to define data structures, relationships, and standards. 3. Data Governance: Establish and enforce data governance practices, including data quality, privacy, and compliance. 4. Data Integration: Design and optimize data integration processes to ensure data flows seamlessly across systems. 5. Data Security: Implement security measures to safeguard sensitive data and ensure compliance with corporate data security standards. 6. Database Management: Manage and optimize databases, including performance tuning, backup, and recovery. 7. Data Architecture: Design and maintain the organization's data architecture, considering scalability and future needs. 8. Collaboration: Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to define data requirements and solutions. 9. Documentation: Maintain comprehensive documentation and catalog of data architecture, standards, and processes. 10. Technology Evaluation: Stay updated on emerging technologies and recommend tools and platforms that align with the company's data strategy. What you'll be doing ESSENTIAL DUTIES & RESPONSIBILITIES • Collaborate with business stakeholders to identify opportunities for leveraging data to drive business solutions • Research, design, implement and deploy scalable data analytics vision 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 • Mine and analyze data to drive optimization and improvement of business strategy • Architect scalable and highly available applications leveraging the latest tools and technologies • 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 • Apply industry standards best practices to development activities • Work on data set to ensure solutions are successfully executed, within agreed upon time frames KNOWLEDGE, SKILLS & ABILITIES • Subject matter expertise in data modeling • Theoretical understanding of statistical methods and modern 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 modern techniques • Self-driven and able to work independently, yet acts as a team player • Able to apply data science principles through a business lens • 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 #GlobalDataCentersCareers EDUCATION & EXPERIENCE • 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 • Understanding of the ITIL methodology • 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, infrastructure components, ETL/ ELT, and reporting/analytic tools • Demonstrable experience in data modeling • Demonstrable experience applying statistical methods and machine learning techniques to solve business problems • Experience with distributed data/computing tools such as Map/Reduce, Hadoop, Hive, Spark, MySQL, etc. • Experience in working in micro-services architecture working with APIs development • Demonstrable experience of full-stack software development with prolific coding abilities • Demonstrable experience in Elastic search, Scoring, and recommendation on very large volumes of data • Experience with both waterfall and Agile Development Methodologies and Test-Driven Development PHYSICAL REQUIREMENTS • Primarily sitting with some walking, standing, and bending. • Able to hear and speak into a telephone. • Close visual work on a computer terminal. • Dexterity of hands and fingers to operate any required computer keyboard, mouse, and other technical instruments. • Able to lift and carry up to 20 lbs. WORK CONDITIONS • Remote work with extensive daily usage of a computer. SPECIAL REQUIREMENTS • Provide 24 x 7 support as needed. • Must be willing to work outside normal business hours, including weekends, late nights, holidays and on-call support. • Must be comfortable working in a highly critical, fast paced environment with shifting priorities. • Occasional travel may be required • Must possess a current, valid state-issued driver’s license. This is a remote position that requires reliable internet connection and electricity. A monthly stipend is provided to cover expenses associated with working remotely and use of a personal mobile device, if applicable. NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience, education, and location. Base salary for this position is $128,800 - $191,000. All regular full-time employees are eligible for an annual bonus; payout is dependent upon individual and company performance. Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package. Workplace type: Remote 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