Position Overview:

We are seeking a highly skilled Principal Data Scientist to lead methodology development as part of a team of advertising technology focused data scientists. The ideal candidate will have extensive experience in statistical modeling, machine learning, and data analysis, with an understanding of advertising technology concepts. You will play a critical role in developing and implementing data-driven strategies, optimizing statistical methods, and driving innovation within the company.

Key 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 team’s 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:

• Master’s or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related field.
• Proven experience (8+ years) in data science, with a strong focus on statistical modeling and machine learning.
• Proficiency in programming languages such as Python and SQL.
• Expertise in statistical techniques, including regression analysis, hypothesis testing, Bayesian methods, and time-series analysis.
• Experience with general machine learning frameworks and libraries. 
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and extract actionable insights.
• Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Experience in the advertising technology industry is highly desirable.
• Familiarity with big data technologies such as Snowflake, Databricks, and cloud platforms (AWS, GCP, etc) is a plus.

ABOUT

We believe every human on the planet should have the option of free access to the world’s information and content. In many cases this belief is powered by a three way value exchange between a publisher producing free content, a consumer consuming it and an advertiser paying the publisher for the chance to connect with its audience. The underpinning of this value exchange relies on having an independent auditing, measurement and optimization layer to power the transaction between the advertiser and publisher.

Today the industry standard tools for advertising and media measurement and optimization are usually designed where increased personalization, higher advertising return on investment and increased publisher revenues often comes with negative trade off for consumer privacy or security risks of leaking private data. We envision a world where this doesn't have to be the case - a world where consumer privacy, security, and governance are incorporated into the fabric of the codebase while enabling the necessary business use-cases to effectively keep the world’s information and content free for everyone.

VideoAmp’s mission is to create software and data solutions to enable advertisers to accurately measure and optimize their entire portfolio of linear TV, OTT, digital and walled garden investments while empowering publishers to effectively align and monetize their audiences with the advertiser’s desired outcome in a consumer-first privacy paradigm.

This position has a minimum salary of $150,000 Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.

Come and Join Us!

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