93 applicants
NTT Global Data Centers · 5 days ago
Senior Data Science Architect
United States
Full-time
Remote
Senior Level
$129K/yr - $191K/yr
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Hiring Manager
Ankita Ranawat, MBA, PHRi
Insider Connection @NTT Global Data Centers
Responsibilities
Data Strategy: Develop and implement an enterprise-wide data strategy aligned with business objectives.
Data Modeling: Create and maintain data models to define data structures, relationships, and standards.
Data Governance: Establish and enforce data governance practices, including data quality, privacy, and compliance.
Data Integration: Design and optimize data integration processes to ensure data flows seamlessly across systems.
Data Security: Implement security measures to safeguard sensitive data and ensure compliance with corporate data security standards.
Database Management: Manage and optimize databases, including performance tuning, backup, and recovery.
Data Architecture: Design and maintain the organization's data architecture, considering scalability and future needs.
Collaboration: Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to define data requirements and solutions.
Documentation: Maintain comprehensive documentation and catalog of data architecture, standards, and processes.
Technology Evaluation: Stay updated on emerging technologies and recommend tools and platforms that align with the company's data strategy.
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
Qualification
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Required
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
Benefits
Annual bonus
Paid time-off
Medical, dental, and vision benefits
Life and supplemental insurance
Short-term and long-term disability
Flexible spending account
401k retirement plan
Company
NTT Global Data Centers
Global Data Centers is becoming a division of NTT DATA.
501-1,000 employees
Funding
Current Stage
Late StageLeadership Team
Joe Pace, Executive MBA
Senior Vice President, Chief of Staff to the CEO and Real Estate & Facilities
Meghan Krafka
CFO & SVP of Finance
Company data provided by crunchbase
