Data Scientist, Media Consultant

Known•New York, NY

10h•$120,000 - $130,000•Hybrid

About The Position

Known’s Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. They partner with clients to translate business goals into meaningful metrics and buy media across all channels to drive target outcomes. This role is on the “Buyer Science” team, a group of data scientists specializing in media measurement, data analysis, experimental design, and campaign optimization. The consultant will work hand-in-hand with Known’s media strategists, media channel experts, and directly with clients to elevate their media performance and drive real business value. They will also collaborate with other data scientists to develop campaign measurement strategies, build experimentation plans, and ensure media allocations are built scientifically. At the Consultant level, the individual will conduct analyses in service of campaign optimization, surface insights that go beyond media metrics to incorporate first party data, and help drive business strategy. They may find themselves working with the development team (Skeptic) to help productionalize deeper and more technical approaches to common media challenges. In many cases, they would work with senior managers on the team and in some cases (especially over time) would be expected to lead projects independently. The role involves embracing project management responsibilities, from defining key business objectives, to designing the measurement or analytical approach, to analyzing data, and presenting findings. The individual would also be expected to ensure that clients have an amazing experience and reinforce the relationship with them as trusted and valued partners.

Requirements

A degree from a well-regarded college or university.
3+ years of hands-on experience doing 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 specific passion and background in technology and/or media.
Examples of account / client management.
Understanding of the advertising and media landscape, especially as pertains to measurement vendors and ad platforms.
Superb communication and presentation skills, with a specific fluency in talking about strategic business problems.
Ability to combine a drive for analytical reasoning with a practical understanding of what clients in marketing are trying to achieve.
Ability to communicate technical information with both technical and non-technical stakeholders.
Experience in making appropriate research or analysis recommendations for these 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 & accuracy of data sources and downstream analytics, including checking your and others’ work.
Experience working on a variety of projects simultaneously and delivering results on a deadline.

Nice To Haves

STEM degrees are preferred.
Prior experience with MCI (for creating interactive data tools).

Responsibilities

Project management and ownership, independently managing workstreams.
Understanding the client’s overall business objectives and translating them into a campaign and measurement strategy.
Overseeing the performance of media campaigns and amazing clients, both by meeting their targets and creating insightful narratives through bespoke reporting.
Writing reports and presenting to clients in a way that is engaging and persuasive.
Developing research, measurement, or analytical approaches.
Statistical analysis of complex datasets.
Managing the ingestion and cleaning of new datasets relevant to work / projects.
Creating reproducible work through common coding languages (Priority: Python and SQL).
Working with other data scientists and engineers to productionalize new tools.
Interpreting data to understand the business implications of the research.
Framing analyses, stories, and slides for client media plans and reports.
Serving as the key client point of contact on campaign measurement, optimization, and data infrastructure.
Creation of interactive data tools that are delivered to clients, such as dashboards for marketing campaign performance, media experiments, or simulation tools.