Associate Director, Data Science

August 10

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We strive to be the BEST DAMN digital partner in the universe.

ABM • Paid Media • GTM Strategy • B2B Marketing • SEM

51 - 200

Description

• Lead the development of data and model-driven decision-making strategies to enhance the success of ABX (Account Based Experience) programs. • Implement state-of-the-art marketing analytics solutions using advanced data science techniques. • Offer specialized guidance in research, modeling, and analytics, emphasizing the enhancement of data intelligence in ABX strategies. • Utilize proactive problem-solving approaches specifically tailored to address ABX challenges. • Act as an analytics consultant for internal teams, aligning immediate project requirements with long-term organizational goals in ABX. • Develop and execute innovative solutions to complex issues related to ABX. • Responsible for managing, maintaining and overseeing the day-to-day operations of the data pipeline, including monitoring system performance, troubleshooting issues, and ensuring data accuracy across all stages of the pipeline. • Support the data team in various stages of the dashboard development process, including data integration and preparation, collaborating with various stakeholders to understand client reporting requirements and ensuring they are translated into effective visualizations. • Guide the development, validation, and implementation of data science models and analytics. • Create replicable code templates and maintain clear documentation throughout the modeling workflow. • Effectively communicate complex solutions to a diverse range of stakeholders in an understandable manner. • Encourage innovative thinking and challenging traditional methods.

Requirements

• 7+ years of combined industry experience in marketing, analytics, and data science. • Extensive experience in advertising or marketing analytics, with a deep understanding of marketing insights, measurement, and the online media landscape. • Some exposure to and experience with ABX technologies. • Proficiency in Python for API calling, data cleaning, modeling, and visualization. • SQL knowledge for database querying. • Working knowledge of Google Query Language. • Experience with cloud-based data warehousing systems such as BigQuery and Snowflake. • Strong knowledge of reporting and visualization techniques. • Proficient in using data visualization tools such as Tableau Software and Looker Studio. • Solid understanding of classical statistical modeling methods, with the ability to interpret and explain underlying assumptions and results. • Exceptional analytical and decision-making capabilities. • Strong problem-solving skills with a focus on identifying actionable insights and scalable solutions. • Ability to combine qualitative and quantitative methods for comprehensive analysis. • Excellent verbal and written communication skills, adept at conveying technical statistical and data science concepts clearly. • Strong presentation skills, capable of engaging both technical and non-technical audiences effectively. • Collaborative mindset, able to work effectively with internal and external stakeholders. • Ability to identify opportunities and develop data science solutions that add value to client projects. • Experience in creating strategic marketing data science solutions that provide actionable, data-driven insights. • Exemplary attention to detail and organizational skills. • High capacity for problem-solving and a keen interest in learning and implementing new technologies.

Benefits

• 100% remote • Medical, Dental, Vision, Pre-tax medical & dependent care FSAs • 401(k) matching program • 20 days PTO, 11 Paid holidays & 10 Sick days • Up to 12 weeks of Parental leave • Monthly stipends for wellness, mobile, and at-home WiFi use • Pet Insurance • Quarterly volunteer hours • Company-paid certifications • Performance reviews, opportunities for feedback, and 1x1s with anyone you want, whenever you want