Principal Data Scientist

VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work every day. We challenge advertising paradigms to maximize value for clients and power the convergence of linear TV and digital video advertising. We are seeking a highly skilled Principal Data Scientist to lead methodology development as part of a data science team focused on advertising technology. The ideal candidate will have extensive experience in statistical modeling, machine learning, and data analysis, with an understanding of advertising technology concepts. You will develop and implement data-driven strategies, optimize statistical methods, and drive innovation within the company.

Responsibilities

• Lead the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.
• Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
• Develop and implement machine learning algorithms to analyze large-scale datasets, uncovering insights and trends that drive strategic decision-making.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and professional development.
• Communicate complex analytical concepts and results to stakeholders in a clear and concise manner.
• Stay current with the latest advancements in data science, machine learning, and advertising technology, incorporating new techniques and tools into the teams workflow.
• Ensure the integrity and accuracy of data through rigorous testing and validation of models.
• Work closely with engineering teams to integrate models into production systems, ensuring scalability and reliability.
• Drive the innovation of data products and services, contributing to the company's overall growth and competitive edge.

Qualifications

What We Offer

This position has a minimum salary of $184,000 - $220,000 + Equity + Benefits. The actual compensation offer will be determined by factors including qualifications, skills, and experience.

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We are on a collective mission to bring equity and transparency into media measurement, and that begins with an honest, inclusive culture. If you're passionate about data and technology and have curiosity around the digital media space, wed love to hear from you. Join us to influence and support the goals of a dynamic, cross-functional team.

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