Experienced Data Scientist Needed for Ongoing Data Scraping and Visualization Projects
Budget: $1,500 – $3,000 CAD
We are looking for an experienced data scientist who has a lot of experience working with marketing data. The ideal candidate will need to show their relevant experience in data scraping, data analysis, and using those insights to create impactful data visualizations. Someone who can also make sure the visualizations are well designed is a plus and these candidates will be prioritized.
Our goal with this project is to use the visualizations to create high quality blog posts that will provide readers with extremely actionable insights and tips that they can apply to their own digital marketing strategies.
We are not looking for basic data analysis that just provides surface level information. We want detailed analysis with graphs that provide more depth.
Candidates WILL NOT be considered if they do not provide examples of work that align exactly with our objectives and what we are looking for. It is also required that candidates have experience exporting and manipulating data from tools such as Ubersuggest, Semrush, Ahrefs, BuzzSumo, SproutSocial, Phlanx, Store Leads, and other popular digital marketing analytics tools.
Attached are some examples of visualizations that have been prepared before but we are looking to make improvements to them across the board. The examples attached should be considered the bare minimum.
Make sure to provide examples of visualizations you have made before that use marketing data. We will not consider any example works that are not specifically focused on marketing data, insights, and analytics.
This means you must provide examples that show how you manipulated data related to keyword data, SEO metrics, social media engagement, content marketing benchmarks, paid digital ads, online reputation management, e-commerce, or others.
Our goal with this project is to use the visualizations to create high quality blog posts that will provide readers with extremely actionable insights and tips that they can apply to their own digital marketing strategies.
We are not looking for basic data analysis that just provides surface level information. We want detailed analysis with graphs that provide more depth.
Candidates WILL NOT be considered if they do not provide examples of work that align exactly with our objectives and what we are looking for. It is also required that candidates have experience exporting and manipulating data from tools such as Ubersuggest, Semrush, Ahrefs, BuzzSumo, SproutSocial, Phlanx, Store Leads, and other popular digital marketing analytics tools.
Attached are some examples of visualizations that have been prepared before but we are looking to make improvements to them across the board. The examples attached should be considered the bare minimum.
Make sure to provide examples of visualizations you have made before that use marketing data. We will not consider any example works that are not specifically focused on marketing data, insights, and analytics.
This means you must provide examples that show how you manipulated data related to keyword data, SEO metrics, social media engagement, content marketing benchmarks, paid digital ads, online reputation management, e-commerce, or others.