Senior Data Scientist – Growth Analytics

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Senior Data Scientist – Growth Analytics

Company Overview
This organization is a machine learning company empowering businesses to unlock the full potential of their first-party data for performance advertising. It operates at the intersection of machine learning, performance marketing, and product infrastructure, supporting companies with scalable machine learning solutions that promote independence and growth. As a leader in advertising technology, the organization has received multiple recognitions, including top rankings on the Inc. 5000 list, the Stratus Award, and Google’s Cloud DevOps Dreamers Award. With offices worldwide, they are dedicated to fostering diversity, inclusion, and a collaborative culture where everyone can thrive.

Job Description
As a Senior Data Scientist specializing in Growth Analytics, you will join a global team of data scientists and analysts. This role focuses on delivering data insights, campaign analysis, and optimization to enhance customer performance and drive business outcomes. Working cross-functionally, you will support clients’ campaign goals through data validation, campaign optimization, and collaboration with various teams.

Key Responsibilities

• Data Analysis: Conduct data gathering, analysis, and presentation, creating custom visualizations, queries, and automated reports to share insights with stakeholders.
• Data Validation: Ensure accuracy of data from ad exchanges and mobile-app tracking solutions to optimize campaign models.
• Campaign Optimization: Monitor campaign performance, collaborate with sales on tailored analysis, and provide actionable insights for client success.
• Business Collaboration: Partner with stakeholders to refine products and services, prioritizing strategies that drive client growth.

Job Requirements

• Minimum Qualifications: Master’s degree or equivalent experience with 6+ years working with statistical packages (e.g., Python, SQL).
• Statistics and Programming: Strong foundation in experimental design, hypothesis testing, regression, time-series analysis, Python, and SQL.
• Communication and Collaboration: Excellent skills in presenting technical insights to various audiences and building relationships with stakeholders.
• Client-Centric: A customer-focused mindset and the ability to balance projects and adapt strategies for business impact.

Preferred Qualifications

• Advanced Education: Ph.D. in a quantitative discipline.
• Experience: Background in ad-tech or consulting; bilingual abilities in English and Chinese are advantageous.
• Skills: Demonstrated problem-solving abilities, attention to detail, project ownership, and leadership with a commitment to continuous learning and teaching.

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