Senior Analyst, Marketing & Data Science

Senior Analyst, Marketing & Data Science

The Senior Analyst, Marketing & Data Science is tasked with developing, and delivering advanced ML/AI-based products and analytic solutions. This role will be a critical driver both of technical and effective delivery of advanced analytic solutions. Specifically in the areas of connected measurement, outcomes/KPI forecasting, experimental designs at the strategic segments and geo levels, and optimization across all brand & performance media investments.

We seek an marketing/data science practitioner who has applied their technical expertise to innovative data engineering and ML/AI modeling problems. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in leveraging structured & unstructured data and category experience across various CPG categories and product lines.

Role Objectives:

1. Solution Development:

• As a Marketing & Data Scientist, you will apply your technical skills and expertise in designing and developing ML/AI-based data products and analytic solutions that will be essential blocks of the Publicis CoreAI workflows and directly application to support the delivery and execution of the Measurement and Optimization roadmap - functioning independently or interfacing with other data scientists and data engineers from partner Publicis teams in-house
• Partnering with peers in related technical areas (such as technology and product engineering), bring your technical domain expertise to audit/assess our current data science capabilities and offerings to support media & marketing planning and operations functions.
• Operate in a constant ‘growth hacking’ mode that seeks to enhance our current suite of AI-based analytic data products.
• Assist in the development of Proof-of-Concepts to evaluate new tools.

1. Subject Matter Technical Expertise:

• Work effectively with partner product stakeholders to communicate and translate product and output requirements into AI/ML solution architecture, tools, tasks & code that will improve the Publicis CoreAI offering.
• Hands-on expertise & in-depth knowledge of multiple programming languages, associated frameworks, and the tool ecosystem to create elegant ML/AI/GenAI applications to solve business-oriented problems. Able to adopt new languages and paradigms, applying them to the problem domain where they deliver significant benefit.
• Produce high-quality code that leads to rapid delivery and compelling utility.
• Ability to model in multiple data domains & platforms. Appling understanding of elastic scale and build highly available and scalable analytic systems.
• Collaborate with cross-functional teams including product strategists, data & technology engineers, and business analysts as you develop and deliver innovative AI/ML features and services that will lead to successful workflow implementations.
• Ensure projects adhere to quality standards, timelines, and budgets.

1. Domain Thought-Leadership & Industry Innovation:

• Stay abreast of trends, technologies, and best practices in the data science field.
• Support internal knowledge-sharing and training programs to elevate the team’s expertise.
• Contribute to the company’s growth by editing case studies and contributing to white papers that highlight success stories and innovative analytic approaches.
• Help raise the bar for the organization in your technical area.

Qualifications:

• 2-5 years of experience in data science and advanced analytics.
• Has developed AI/ML analytic solutions in a fast-moving, innovation-focused organisation in categories such as e-commerce/retail, entertainment/media/travel, advertising platforms/services (e.g., Google, Amazon).
• Demonstrable history of hands-on coding that showcases your prowess.
• Mastery of multiple programming languages and development tools. Experience of building products used by other developers.
• Exceptional problem-solving skills and a proactive approach to overcoming challenges.

• Preferred Skills:
• Strong communication and presentation skills.
• Experience with agile and other progressive development methodologies.
• Exceptional problem-solving skills and a proactive approach to overcoming challenges.

• Education:
• Advanced degrees (M.Sc./PhD) in Computer Science, Engineering, Math, or a related field are preferred.
• Certifications in analytics or data science (e.g., AWS Certified Data Analytics, Certified Analytics Professional) preferred.