Marketing Data Scientist

Summary

Recast is seeking a Marketing Data Scientist to enhance media measurement through client consulting and internal development. The role involves performing data analyses, onboarding clients, and managing data pipelines while improving team efficiency.

Responsibilities

• Perform complex data analyses and present the results to clients to help them interpret and action on the insights from the Recast model
• Onboard new clients onto Recast's platform, work hand-in-hand with them to set priors, interpret results, and plan experiments to validate the model
• Develop and manage data pipelines in R
• Identify and enact process improvements to improve efficiency across the data science team

Skills

• Perform complex data analyses and present the results to clients to help them interpret and action on the insights from the Recast model
• Onboard new clients onto Recast's platform, work hand-in-hand with them to set priors, interpret results, and plan experiments to validate the model
• Develop and manage data pipelines in R
• Identify and enact process improvements to improve efficiency across the data science team
• Presenting results of your analyses to both technical and non-technical audiences
• Use of R for data cleaning and exploratory data analysis
• Basic statistic and experimental methods
• 2+ years of experience working as a data analyst or data scientist
• Marketing data science and media performance measurement
• Partnering directly with marketers to shape budgets and structure tests
• Experience with Bayesian statistical modeling

Qualifications

Must Haves

• Perform complex data analyses and present the results to clients to help them interpret and action on the insights from the Recast model
• Onboard new clients onto Recast's platform, work hand-in-hand with them to set priors, interpret results, and plan experiments to validate the model
• Develop and manage data pipelines in R
• Identify and enact process improvements to improve efficiency across the data science team
• Presenting results of your analyses to both technical and non-technical audiences
• Use of R for data cleaning and exploratory data analysis
• Basic statistic and experimental methods
• 2+ years of experience working as a data analyst or data scientist

Nice to Haves

• Marketing data science and media performance measurement
• Partnering directly with marketers to shape budgets and structure tests
• Experience with Bayesian statistical modeling

Benefits

• Work wherever you’re happiest. We're fully remote. This role is required to overlap with US Eastern Time zone hours
• Competitive remote salary along with early stage equity
• Your local holidays plus unmetered PTO (minimum 2 weeks mandatory PTO!)
• Minimal standing meetings with frequent collaboration and async by design
• Autonomy and support to do your best work in your own time