Job Description

SENIOR DATA SCIENTIST – SEARCH ENGINE MARKETING (SEM) OPTIMIZATION

$170,000 - $230,000 + BENEFITS

REMOTE

COMPANY OVERVIEW

An established entertainment company is looking for a Senior Data Scientist to revolutionize its Search Engine Marketing (SEM) efforts through advanced machine learning techniques and bidding optimization. This company thrives on data-driven strategies to refine marketing performance and maximize revenue.

This position offers an exciting opportunity to lead high-impact SEM initiatives, crafting innovative solutions redefining digital marketing efficiency and advertising spending strategies.

THE ROLE

As a Senior Data Scientist – SEM Optimization, you will develop and implement machine learning models to improve ad performance. Your work will involve large-scale data analysis, bidding strategy optimization, and automated SEM process development, all of which will directly impact how the company allocates its marketing budget.

ROLE RESPONSIBILITIES

• Design and deploy predictive models to enhance SEM bidding strategies, optimizing spend and ROAS targets.
• Streamline and automate SEM campaign structures to improve scalability and performance.
• Conduct in-depth analysis of SEM data to drive strategic decisions for marketing and finance teams.
• Apply machine learning methodologies across multiple marketing channels, including Search, CRM, and Display.
• Work closely with cross-functional teams to align SEM strategies with broader business objectives.
• Identify campaign inefficiencies and develop AI-powered solutions to boost performance.

SKILLS & EXPERIENCE

• 4+ years of hands-on SEM experience, including campaign management, bidding strategies, and structuring.
• Strong background in data science and machine learning, particularly in bidding optimization, spend forecasting, and Target ROAS modeling.
• Proficiency in Python, SQL, and R for data analysis and predictive modeling.
• Solid understanding of statistical methodologies, including A/B testing and performance analysis.
• Experience with data visualization platforms such as Tableau, Sigma, or Power BI.
• Marketplace or eCommerce experience preferred, particularly within a B2C environment.

BENEFITS

• Competitive Compensation: $170,000 - $230,000 BASE+ BENEFITS.
• Direct Impact: Influence multi-million dollar marketing decisions with cutting-edge machine learning models.

If you're a data-driven innovator who thrives in search engine marketing and machine learning, we'd love to hear from you!

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