Sr Data Scientist II

Sr Data Scientist II at DoubleVerify

About the role In the dynamic world of digital advertising, DoubleVerify stands at the forefront of innovation with its AI-powered solutions. As a Senior Data Scientist II, you will play a pivotal role in enhancing and developing advanced bidding algorithms that optimize ad performance across various platforms. This position demands a blend of analytical expertise, a deep curiosity about data, and a solid foundation in statistical methodologies. You will be tasked with not only evaluating existing algorithms but also designing new products and features that will significantly impact the efficacy of digital campaigns for global brands.

Key facts

• Location: Paris, France
• Engagement: Full-time

What you'll do

• Assess and refine the optimization algorithms used by DV Scibids to ensure they meet the evolving needs of digital advertising.
• Design, develop, and rigorously test new products and features that enhance the capabilities of DV Scibids.
• Handle vast datasets, processing billions of ad impressions each month and managing millions of variables to derive actionable insights.
• Maintain production environments by investigating issues that arise, evaluating their impact, and implementing effective solutions.
• Collaborate with multi-disciplinary agile teams, taking full responsibility for the entire product development lifecycle from conception to delivery.
• Continuously roll out new features using automated deployment tools and frameworks through Infrastructure as Code (IaC) practices.
• Conduct thorough code reviews and provide system design guidance to fellow team members, fostering a culture of quality and excellence.
• Stay updated with the latest advancements in data science and apply them to improve existing models and algorithms.
• Mentor mid-level engineers, sharing your knowledge and expertise to help them grow in their careers.
• Cultivate a passion for automation and data-driven decision-making, emphasizing the importance of reliability and responsible experimentation in all projects.

Requirements

• A Master's degree in applied mathematics or a related field, with a focus on areas such as machine learning, statistics, probabilities, or operations research.
• A minimum of three years of programming experience, ideally with proficiency in languages like Python, C++, or C#.
• Familiarity with DevOps practices, including Git, CI/CD pipelines, Docker, and container orchestration tools such as Kubernetes.
• Experience working in cloud environments, showcasing your ability to leverage cloud technologies for data processing and storage.
• Strong communication skills, with the ability to collaborate effectively within a team setting.
• A demonstrated ability to mentor and guide mid-level engineers, fostering their professional development.
• A keen interest in automation and making data-driven decisions that enhance operational efficiency.
• An appreciation for agile software development methodologies, emphasizing reliability and responsible experimentation.

Nice to have

• Previous experience in the AdTech sector, providing insights into the unique challenges and opportunities within the industry.
• Familiarity with advanced statistical techniques and their application in optimizing digital advertising campaigns.
• Knowledge of data visualization tools and techniques to effectively communicate insights and findings.
• Experience with machine learning frameworks and libraries, enhancing your ability to develop predictive models.

Skills & tools

• Proficiency in programming languages such as Python, C++, or C#, with a strong emphasis on data manipulation and analysis.
• Expertise in statistical analysis and modeling, enabling you to derive meaningful insights from complex datasets.
• Familiarity with DevOps tools and practices, including version control systems, CI/CD pipelines, and containerization technologies.
• Experience with cloud platforms, enhancing your ability to manage and analyze large volumes of data efficiently.
• Strong problem-solving skills, with the ability to think critically and develop innovative solutions to complex challenges.
• Excellent communication skills, allowing you to articulate technical concepts to both technical and non-technical stakeholders.

Practical notes

• The base salary for this position will be determined based on various non-discriminatory factors, including the candidate's qualifications, skills, experience, and location.
• The estimated salary range for this role is between €56,000 and €101,000, reflecting the diverse skill sets and experiences of potential candidates.
• This position may also offer additional incentives such as bonuses, commissions, equity, and a comprehensive benefits package.