Director of Data Science (Media/Advertising)

Our client is a digital media and advertising agency that specializes in commerce media and creating data intelligence insights for their clients. They are looking to add a Director of Data Science (Media/Advertising) to their team.

Salary/Hourly Rate:

$180k – $195k

Position Overview:

This Director of Data Science (Media/Advertising) will work part of a growing team that will lead and be a sole contributor to their client work. The Director of Data Science (Media/Advertising) will create smart models for client deliverables, working within their data intelligence platform. Lots of growth potential.

Responsibilities of the Director of Data Science (Media/Advertising):

• Lead, create, and elevate current analytics methodology, build a replicable statistical framework within the constructs of a composable analytics framework, and their data platform.
• Build Model outputs and inputs, working with the Data Engineering team to ensure data processes are automated and efficient.
• Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers.
• Incorporate multiple 3rd-party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems.
• Demonstrated ability to extract business insights from large datasets and use them to drive business change.
• Mine, aggregate, and analyze data from databases to drive optimization and improvement.

Required Experience/Skills for the Director of Data Science (Media/Advertising):

• Familiarity with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.).
• At least 5 years of experience in a Data Science/Machine Learning client analytics role.
• Experience in working with client services teams and communicating technical findings directly with client technical team members.
• Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies.
• Deep expertise in Python (and libraries), R, SQL.
• Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc.
• Proven experience in interacting collaboratively with Product Management from analytic conceptualization, through hands-on exploratory data analysis (EDA), piloting, and production rollout within performant backend APIs.
• Independently motivated to conceptualize and execute proactive client analysis.

Education Requirements:

• Bachelor’s degree and/or Master’s degree in a related field is preferred. 

Benefits:

• Client-provided benefits available, upon eligibility.

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EOE/M/F/D/V/SO