Data Scientist (Social Data) - W2
Title: Data Scientist
Locations: Fully Remote, in the US
Duration: Contract (12+ Months - Extendable)
Client: Software Development
Job Description:
As a social + marketing team, we have a preference for candidates who have experience dealing with social data and have potentially been close to a marketing org. Of course, we are open to being flexible on these with the right candidate.
Key Responsibilities:
• Experience managing and analyzing social data (TikTok, Meta, YouTube, etc.).
• An understanding of foundational marketing concepts and measurement items (campaign performance, paid media performance).
• Familiar with Google Cloud Platform including BigQuery and Cloud Storage.
• Experience or examples of integrating AI solutions into their work / projects.
Required Qualifications:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data science, analytics, and marketing systems.
• Proficiency in Python, R, and SQL for data processing and analysis.
• Understanding of ML (machine learning) techniques used to cluster and sort large sets of data as well as predictive modeling.
• Statistical understanding and experience applying this to real outcomes - a plus if in the marketing space.
Title: Data Scientist
Locations: Fully Remote, in the US
Duration: Contract (12+ Months - Extendable)
Client: Software Development
Job Description:
As a social + marketing team, we have a preference for candidates who have experience dealing with social data and have potentially been close to a marketing org. Of course, we are open to being flexible on these with the right candidate.
Key Responsibilities:
• Experience managing and analyzing social data (TikTok, Meta, YouTube, etc.).
• An understanding of foundational marketing concepts and measurement items (campaign performance, paid media performance).
• Familiar with Google Cloud Platform including BigQuery and Cloud Storage.
• Experience or examples of integrating AI solutions into their work / projects.
Required Qualifications:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data science, analytics, and marketing systems.
• Proficiency in Python, R, and SQL for data processing and analysis.
• Understanding of ML (machine learning) techniques used to cluster and sort large sets of data as well as predictive modeling.
• Statistical understanding and experience applying this to real outcomes - a plus if in the marketing space.
