Data Science Lead Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Data Science Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Planning, implementation, support – project planning, architectural design, implementation, and support for NLP solution
• Raw language and statistical language processing – provide the highest-quality data to support relevant, accurate results for search and analytics
• Text analytics solutions – text mining, text extraction, entity extraction, content categorization, content clustering, fact extraction, and relationship extraction
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions. Also ensure that algorithms generate accurate user recommendations.
• Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
• Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.
• Leads system change process from requirements through implementation; provides user and operational support of application to business users.
• Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
• Conduct workflow analysis, business process modeling; develop use cases, test plans, and business rules; assist in user acceptance testing.
• Collaborate on design and implementation of workflow solutions that provide long term scalability, reliability, and performance, and integration with reporting.
• Gather requirements and provide solutions across Business Sectors
• Partner with cross functional teams to analyze, deconstruct, and map current state process and identify improvement opportunities including creation of target operation models.
• Develop and maintain documentation on an ongoing basis, and train new and existing users
• Direct the communication of status, issue, and risk disposition to all stakeholders, including Senior Management
• Direct the identification of risks which impact project delivery and ensure mitigation strategies are developed and executed when necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• Masters or Advanced Degree Information Systems, Business Analysis / Computer Science
• 6-10 years experience using tools for statistical modeling of large data sets
• Process Improvement or Project Management experience

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree