Senior Specialist, Data Scientist

Key Skills

JavaScript, Java Programming, Analytical and Problem solving, Oracle, Python Programming, Database, SQL, XML-JSON, Azure, AWS, SQL Server, REST API, Machine learning techniques, NoSQL, Vertica, Docker, Kubernetes-K8s, Bash scripting, PowerShell Programming, PaaS

Job Description

Technology Services Group (TSG) keeps BNY Mellon's technology running and defines and executes the firm’s technology strategy, positioning us for tomorrow. From the computers and collaboration tools of our employees to modernized infrastructure platforms and core services, we ensure that the firm’s systems are running optimally while enabling business innovation and productivity. We also oversee BNY Mellon’s architecture and data, guiding the firm through the technology changes necessary to execute business strategies.

Architecture and Engineering - develops, rationalizes and secures target-state architecture across BNY Mellon technology with next-generation engineering solutions focused on risk, resiliency and compliance. By validating architecture and engineering principles and best practices we guide the firm through the technology changes necessary to execute business strategies.

The Role

As a Data Scientist, you will be responsible for determining and enriching internal and external data sources for use in predictive analytics solutions.

You will be responsible for accelerating, innovating, and improving productivity for our clients, products, and employees leveraging enterprise data products and advanced analytics.

In addition to execution, you will partner across the bank to address priorities (e.g. automation, digitization and optimization etc.). You will work with both technical and business organization to deliver solutions to complex business and process issues, identify actionable opportunities for improvement, and deliver financial impact to the firm.

You will be responsible for designing and implementing data transformations and models using internal and external data for predictive analytics applications for cloud environments. Looks for new and better ways to improve the environment, ensuring a quality product.

Responsibilities:

• Provide expertise in big data pipelining (ingestion, transformation, visualization, building and optimizing classifiers - (Regression/ KNN Classification / Random Forest / SVM etc.) using machine learning and deep-learning based techniques)
• Provide expertise in defining architectures and implementing systems for data pipelining for Predictive Analytics and Machine Learning applications.
• Provide excellent analytical skills to mine data, model data, develop algorithms and analyze results to determine decisions or actions
• Create / contribute to the creation of new innovation project proposals including the pre-socialization with stakeholders, the creation of business cases, cost and revenue projections.
• Manage multiple concurrent initiatives and projects of varying sizes & complexity
• Effective upward and downward communication on all notable progress to all key stakeholders

Qualifications

• Bachelor's degree in computer science or a related discipline, or equivalent work experience required, advanced degree is beneficial, 7-10 years of diverse experience in information technology required, experience in the securities or financial services industry is a plus.
• Must have strong analytical and problem-solving skills and quickly learn new application systems and technology. 

• Experience with determining the internal and external (structured and unstructured) data required for varied Predictive Analytics solutions,
• Experience with defining architectures and implementing systems for data pipelining for Predictive Analytics and Machine Learning applications.
• Experience with processing unstructured data; natural language processing (NLP), classifying, categorization
• Experience with big data ingestion, transformation,
• Experience with the metadata and techniques required for identifying, tracking (pedigree/lineage), confidence, provenance, and security of datasets, files, and objects.
• Experience with NoSQL graph database technology.
• Experience with the Agile methodology.
• Experience working in geographically dispersed teams
• Experience working with large databases (MS SQL Server, Oracle, Vertica)

• Comfortable working with geographically dispersed team
• Excellent collaboration and communication skills (oral, written)
• Ability to problem solve and performance tune in a high paced development environment

Preferred

• Core development experience in Java technologies (e.g. JEE, JSP, Servlets, EIP, XML/XSLT, JSON, SQL, JavaScript, Python, PowerShell, Bash)
• Understanding of service orientated multi-tiered application architecture utilizing web service standards and protocols (REST, JSON)
• Familiar with release management and version control including GIT
• Comfortable with a range of project and software development methodologies – experience with agile scrum preferable
• Familiar with Continuous Integration, micro services, API Management, and container architecture (Docker, Kubernetes)
• Previous experience in AWS (IaaS, PaaS) , Azure (IaaS, PaaS, Office 365) architecture, design and development