Responsibilities

• Advanced Analytics: Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics and user journey analytics.
• Hands on implementation: Leverage multiple analytical approaches, tools and techniques, working on multiple data sources (media channel data, acquisitions data, revenue data,) A/B testing, incrementality studies addressing business questions through marketing lens
• Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
• Leadership and development: Translate complex business questions into analytical problems and guide the team in developing appropriate data-driven solutions.
• Stakeholder communication: Communicate complex analytical concepts and data driven insights clearly and concisely to diverse audiences, including senior leadership, marketing teams, and cross-functional partners.
• Operational Excellence: Oversee the end-to-end model development lifecycle, from data collection and preprocessing to model building, validation, and deployment.
• Accountability: Ensure the team adheres to best practices in data science, model governance, and ethical data usage and ensure timely and effective deployment of models.
• Thought Leadership: This role will serve as a subject matter expert in analytics – ability to understand complex business problems, develop analytical approaches to solve them and simplify outcomes for stakeholders. Drive ideation on analytical projects.

Requirements

• 6-10 years’ experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
• Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks.
• Experience with big data technologies, cloud platforms, and data visualization tools (e.g., SQL, Tableau, Power BI, Dataiku).
• Hands on experience working with complex structured and unstructured marketing data
• Experience leading predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects
• Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case
• Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic
• Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven
• Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams
• Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
• Tools and Platforms :
• Proficient in Python / R, Hive / SQL
• Experience on machine learning frameworks like TensorFlow, PyTorch etc.
• Good to have: Experience on Gen AI platforms and tools
• Masters or Bachelor’s degree in Business Analytics, Finance, Statistics. Advanced degree preferred

Preferred

• Experience on Gen AI platforms and tools

Benefits

• medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.