Product Manager - Machine Learning/Data Scientist, Apps Dev Tech Lead (Hybrid)

Key Skills

Apache Impala, Apache Kafka, AWS, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data pipelines, Data science techniques, Database, Design, Infrastructure as code, Leadership Skill, Logistic Regression, Machine learning techniques, NoSQL, NumPy, Pandas, Product Management, Python Programming, Random forests, Red Hat OpenShift, Spark-SQL, SQL, Teradata

Job Description

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements

• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards

• Provide expertise in area and advanced knowledge of 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, such as architecture and infrastructure, integrate to accomplish business goals

• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions

• Serve as advisor or coach to mid-level developers and analysts, allocating work as 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:

• 6-10 years of relevant experience in Apps Development or systems analysis role

• A candidate is keen to work on various tools and technologies for successful implementation of ML models on different platforms.

• Build out the machine learning and data infrastructure to ensure smooth, continuous operation of the major ML models

• Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.

• Provide thought leadership for all data solution that includes designing, developing and implementing solutions that meet and exceed expectations.

• Have extensively worked on databases (SQL, PostGre, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark

• Hands on experience on 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.

• Able to develop and maintain API interfaces with Third party data vendors, experience in Pivotal Cloud foundry (PCF), OpenShift, BlueData, Kafka, Docker tools, AWS, AppDynamics, CI/CD processes etc. would be an added advantage

• Extensive experience system analysis and in programming of software applications

• Experience in managing and implementing successful projects

• Subject Matter Expert (SME) in at least one area of Applications Development

• Ability to adjust priorities quickly as circumstances dictate

• Demonstrated leadership and project management skills

• Consistently demonstrates clear and concise written and verbal communication

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred