VP, Product Manager - Machine Learning/Data Scientist, Apps Dev Tech Lead Analyst

$113,840 - $170,760/Yr

Citigroup - Jacksonville, FL

Full-time - Senior

Jacksonville, FL

Credit Intermediation and Related Activities

About the position

The Machine Learning/Data Scientist is a senior-level position at Citi responsible for establishing and implementing new or revised application systems and programs in collaboration with the Technology team. This role focuses on managing decision and prediction models using artificial intelligence methods and platforms, ensuring the integration of functions to meet organizational goals, and providing expertise in applications programming while adhering to architectural standards.

Responsibilities

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals and identify necessary system enhancements.
• Resolve high impact problems/projects through in-depth evaluation of complex business processes and industry standards.
• Provide expertise in applications programming and ensure application design adheres to the overall architecture blueprint.
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation.
• Develop comprehensive knowledge of how areas of business integrate to accomplish business goals.
• Provide in-depth analysis to define issues and develop innovative solutions.
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary.
• Assess risk when business decisions are made, ensuring compliance with applicable laws and regulations.

Requirements

• 6-10 years of relevant experience in Apps Development or systems analysis role.
• Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests.
• Extensive experience with databases (SQL, PostGre, NoSQL, Teradata) and Python (NumPy, Pandas).
• Hands-on experience designing and developing data pipelines for data ingestion or transformation using Python (Pyspark)/Spark SQL, Impala.
• Experience in building and optimizing 'big data' pipelines, architecture, and datasets.
• Ability to develop and maintain API interfaces with third-party data vendors.
• Demonstrated leadership and project management skills.

Nice-to-haves

• Experience with tools such as Pivotal Cloud Foundry (PCF), OpenShift, BlueData, Kafka, Docker, AWS, AppDynamics, CI/CD processes.

Benefits

• Paid holidays
• Disability insurance
• Health insurance
• Dental insurance
• 401(k)
• Paid time off
• Vision insurance