Advanced Analytics Modeler Lead

Role

Advanced Analytics Modeler Lead

Summary

You will be the point person of the advanced analytics (AA) team for existing AA models and delivery of new projects/model developments.

Primary Responsibilities

Manage the workload of the AA team, and support other modeler resources being the designated lead of the team. This includes but is not limited to:

• Plan, delegate and manage timelines and deliverables with the team, assigned squad and stakeholders.
• Perform QA of team's output to ensure accurate results to share with stakeholders.
• Make decisions on best model or approach to use for all projects with all assumptions, caveats and recommendations aligning to business objectives
• Consider each modeler's skill level, knowledge and understanding of all phases of the job and those requiring improved skills and/or experience
• Ensure proper turnovers and documentations for ML Ops and conduct needed training to new co-workers or subordinates.
• Continuously look for improvements, not just in deployed models performance but in all end-to-end project methodology and work progress.

Be able to also perform as an individual contributor by participating in the requirements gathering, assessment, and design of client's analytical models. This includes but is not limited to:

• Gathering, analyzing, and validating requirements.
• Coordinating with integration developers regarding use case requirements.
• Utilize big data to perform analyses and generate reports based on requestor's needs.
• Execute a complete end-to-end modeling process, including:
  • Model design preparation
  • Data preparation
  • Model selection, assessment, and evaluation
  • Results presentation
• Work proficiently with open-source tools such as Python and SQL, or other tools as required by stakeholders.
• Monitor existing analytical models especially BAU models commercially deployed if performance is depreciating or issues occur should be able to relay information to stakeholders, recommend and apply quick resolutions.
• Adapt to and learn new platforms such as CDSW, AWS, Hue, and Snowflake, and be able to quickly adapt to additional platforms upon stakeholder requests.
• Apply substantial telco domain knowledge in areas such as customer segmentation, revenue assessment, and campaign-related tasks.
• Communicate effectively with various teams and departments to accomplish and refine tasks based on business requirements.
• Attend and contribute to meetings and discussions.

Skills, Knowledge, and Abilities

• Presentation and communication skills
• Project and people management in sprints and fiscal quarters
• Proficient with open-source tools such as Python and SQL
• Knowledge in data handling techniques such as data pipelines, batch scoring/transformation and user defined functions
• Experience in executing end-to-end modeling process
• Knowledge in standards/best practices of end-to-end Analytics Methodology (model training, validation and governance)
• Experience in CDSW, AWS, Hue, and Snowflake
• Knowledge in Machine Learning, Customer Segmentation, Revenue Assessment and Campaign Development/Management.
• Collaborative/Team player.

Number of Vacancies

1