Company Overview
We are Saatchi—an energetic collective of curious minds, bold creators, and relentless doers. From dog lovers and beach walkers to deep-fried food fans and innovation enthusiasts, we’re united by a passion for pushing boundaries.
With a spirit of childlike wonder, a love for cutting-edge technology, and an eagerness to explore the unknown, we turn the unimaginable into the achievable.
Our teams across Dallas, Los Angeles, New York, and Seattle are driven by a shared mission: to craft powerful strategies, deliver unexpected and breakthrough ideas, and create exceptional advertising that leaves a lasting impact.
Key Responsibilities
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Navigate the unique complexities of leveraging data and technology in the marketing and advertising landscape, taking into account existing analytics, consumer insights, media, and creative processes.
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Develop and enhance models focused on common marketing objectives such as media targeting, personalization, regression analysis, and attribution modeling.
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Generate audience insights through advanced statistical methods, including predictive modeling, segmentation, survey design, and testing frameworks, to deepen consumer understanding and strengthen their relationship with the brand.
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Contribute to the agency’s analytics advancement by enhancing capabilities, data products, and toolsets.
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Conduct exploratory data analysis and mine complex, often fragmented datasets—including product metadata, user-level interactions, primary research, audience profiles, social sentiment, and DMP data.
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Provide thought leadership and collaborate proactively with internal teams and clients, clearly communicating findings and strategic implications.
Qualifications
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6+ years of experience as a Data Scientist, Research Scientist, Research Assistant, or in a similar analytical role.
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Strong technical proficiency in Python (and relevant libraries), R, SQL, and familiarity with modern data platforms and data structures.
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Proven statistical reasoning skills and ability to apply them to real-world business problems.
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Skilled in translating business challenges into data solutions through effective requirements gathering and problem-solving.
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Excellent communication skills with the ability to articulate technical decisions and their business impact.
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Experience working with marketing, advertising, or survey data is a plus.