About the position
The CCR Reputational Marketing & Insights (RMI) Data Scientist will be responsible for developing innovative measurement solutions to optimize a robust paid marketing program spanning paid digital, social, and addressable channels. Our team is single-mindedly focused on building an industry-leading program that changes minds on important issues relevant to our brand. Success is driven by offline outcomes that are exceptionally difficult to capture and measure. Though randomized-controlled trials that rely on surveys, our team measures when our media is effective through attitudinal change. We do not determine success through traditional direct-response metrics like sales, conversions or signups. Nor do we rely on engagement metrics like clicks, comments, or likes. Instead, the Data Scientist will work with multiple vendor partners, our Operation and Tech team, and various technical and non-technical stakeholders to develop models and solutions that marry survey data, media data, and other inputs into actionable insights that allow RMI to both determine ROI of its paid media program, and optimize it for further impact.
Responsibilities
- Develop innovative measurement solutions for a robust paid marketing program.
- Work with a diverse team of media strategists, researchers, and creative producers.
- Build models from the ground up to provide critical inputs into large scale budget and media buying decisions.
- Explain methods and insights to both technical and non-technical stakeholders.
- Leverage modern AWS technologies to implement innovative methodologies and techniques.
Requirements
- 2+ years of data scientist experience.
- 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques.
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.
- Knowledge of relevant statistical measures such as confidence intervals and significance of error measurements.
- Expertise with working with survey data, including various weighting methods, survey design, and text analysis.
Nice-to-haves
- Experience in Python, Perl, or another scripting language.
- Experience in a ML or data scientist role with a large technology company.
- Experience developing experimental and analytic plans for data modeling processes.
- Comfort with the digital advertising ecosystem, including knowledge of how paid marketing campaigns are built, trafficked, monitored, and optimized.
Benefits
- Base pay ranges from $125,500/year to $212,800/year depending on geographic market.
- Equity, sign-on payments, and other forms of compensation may be provided.
- Full range of medical, financial, and/or other benefits.
