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ML Model Development: Design, build, and deploy machine learning models to solve complex business problems.
Google Analytics 4: Utilize GA4 to gather, analyze, and interpret web data to inform business strategies.
BigQuery ML: Run ML commands directly in the BigQuery console to develop and manage scalable ML models.
Data Analysis: Analyze large datasets to extract actionable insights and drive data-driven decision-making.
Collaboration: Work closely with marketing, product, and engineering teams to understand requirements and deliver impactful solutions.
Reporting: Create detailed reports and visualizations to communicate findings to stakeholders.
Optimization: Continuously improve models and analytics processes for better accuracy and efficiency.
Documentation: Maintain comprehensive documentation of models, processes, and analytical methodologies.
Required Skills and Qualifications:
Education: Bachelors degree in Data Science, Computer Science, Statistics, or a related field. Masters degree preferred.
Experience: Proven experience as a Data Scientist or similar role with a focus on building ML models.
Technical Skills: Strong proficiency in Python, SQL, and machine learning frameworks.
Google Analytics 4: Hands-on experience with Google Analytics 4.
BigQuery ML: Practical experience with BigQuery ML, including running ML commands in the BigQuery console.
Analytical Skills: Excellent data analysis and problem-solving skills.
Communication: Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Marketing Domain: Experience in the marketing domain is highly preferred.
Preferred Skills:
Visualization Tools: Proficiency with data visualization tools such as Tableau, Looker, or similar.
Statistical Analysis: Strong background in statistical analysis and predictive modeling.
Job Responsibilities:
ML Model Development: Design, build, and deploy machine learning models to solve complex business problems.
Google Analytics 4: Utilize GA4 to gather, analyze, and interpret web data to inform business strategies.
BigQuery ML: Run ML commands directly in the BigQuery console to develop and manage scalable ML models.
Data Analysis: Analyze large datasets to extract actionable insights and drive data-driven decision-making.
Collaboration: Work closely with marketing, product, and engineering teams to understand requirements and deliver impactful solutions.
Reporting: Create detailed reports and visualizations to communicate findings to stakeholders.
Optimization: Continuously improve models and analytics processes for better accuracy and efficiency.
Documentation: Maintain comprehensive documentation of models, processes, and analytical methodologies.
Required Skills and Qualifications:
Education: Bachelors degree in Data Science, Computer Science, Statistics, or a related field. Masters degree preferred.
Experience: Proven experience as a Data Scientist or similar role with a focus on building ML models.
Technical Skills: Strong proficiency in Python, SQL, and machine learning frameworks.
Google Analytics 4: Hands-on experience with Google Analytics 4.
BigQuery ML: Practical experience with BigQuery ML, including running ML commands in the BigQuery console.
Analytical Skills: Excellent data analysis and problem-solving skills.
Communication: Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Marketing Domain: Experience in the marketing domain is highly preferred.
Preferred Skills:
Visualization Tools: Proficiency with data visualization tools such as Tableau, Looker, or similar.
Statistical Analysis: Strong background in statistical analysis and predictive modeling.
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