VideoAmp is seeking a Principal Data Scientist to lead methodology development in advertising technology, aiming to optimize advertising campaign measurement, improve planning and targeting accuracy, and drive innovation in data products and services to maximize value for clients by enabling companies to execute on business outcomes across their media investment.
Requirements
- 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.
- 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.
Responsibilities
- Lead the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.
- 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.
Other
- Master’s or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related field.
- Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
- Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
- Hybrid work model (Los Angeles, CA or New York City).
