Data Scientist, Media Consultant

Known•New York, NY

1d•$120,000 - $130,000

About The Position

Known's Media Science team utilizes advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising expenditures. We collaborate with clients to translate their business objectives into measurable metrics and manage media buys across all channels to achieve those outcomes. This role involves working with data analysts, data scientists, media strategists, media buyers, and software engineers. Specifically, this position is within the "Buyer Science" team, focusing on media measurement, data analysis, experimental design, and campaign optimization. The individual will work closely with media strategists, channel experts, and clients to enhance media performance and deliver business value. Responsibilities include developing campaign measurement strategies, designing experimentation plans, and collaborating with media planners to ensure scientifically sound media allocations. At the Consultant level, this role involves conducting analyses for campaign optimization, deriving insights beyond media metrics by incorporating first-party data, and contributing to business strategy. There will be opportunities to collaborate with the development team to productionalize advanced approaches to media challenges. The role may involve leading projects independently over time. Project management responsibilities include defining business objectives, designing analytical approaches, analyzing data, and presenting findings. Ensuring an exceptional client experience and reinforcing client relationships as trusted partners is also key.

Requirements

A degree from a well-regarded college or university (STEM degrees preferred).
3+ years of hands-on experience in quantitative analysis, statistical modeling, optimization, and/or statistics.
Experience utilizing Python and SQL.
1+ years of experience building data science software.
Experience in strategy consulting, marketing, and/or marketing research, with a passion and background in technology and/or media.
Examples of account/client management.
Understanding of the advertising and media landscape, including measurement vendors and ad platforms.
Superb communication and presentation skills, with fluency in discussing strategic business problems.
Ability to combine analytical reasoning with a practical understanding of client marketing objectives.
Ability to communicate technical information to both technical and non-technical stakeholders.
Experience making appropriate research or analysis recommendations for business problems.
Proficiency in Google products (Sheets, Documents, Slides) and/or Microsoft Office (Excel, Word, PowerPoint).
Ability to think strategically, analytically, and proactively about diverse business problems.
Passion for managing the quality and accuracy of data sources and downstream analytics.
Experience working on multiple projects simultaneously and delivering results on deadline.

Nice To Haves

Prior experience with MCI for creating interactive data tools.

Responsibilities

Project management and ownership of workstreams.
Understanding client business objectives and translating them into campaign and measurement strategies.
Overseeing media campaign performance and creating insightful narratives through bespoke reporting.
Writing reports and presenting findings to clients in an engaging and persuasive manner.
Developing research, measurement, or analytical approaches.
Performing statistical analysis of complex datasets.
Managing the ingestion and cleaning of new datasets.
Creating reproducible work using Python and SQL.
Collaborating with data scientists and engineers to productionalize new tools.
Interpreting data to understand business implications and framing analyses for client media plans and reports.
Serving as a key client point of contact for campaign measurement, optimization, and data infrastructure.
Creating interactive data tools for clients, such as dashboards for marketing campaign performance or media experiments.