Senior Manager, Data Science - Rockerbox

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Marketing Technology, Data & AnalyticsIndustries

Requirements

Candidates must possess 7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role. Proficiency in Python, SQL, and cloud-based data platforms is essential, along with a deep understanding of statistical modeling, causal inference, and regression techniques. Hands-on experience with Bayesian modeling and feature development for MTA models and testing methodologies, particularly with marketing data and consumer business KPIs, is required. The ability to hire, manage, and mentor data scientists while also contributing as an individual contributor is crucial, as are strong communication skills for effective collaboration.

Responsibilities

The Senior Manager, Data Science will lead and mentor the data science team, fostering growth and technical excellence. This role involves owning feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability, and acting as a hands-on contributor by developing statistical models and validating approaches. Responsibilities also include working cross-functionally with engineering and product teams to integrate data science solutions, driving best practices in model validation, experiment design, and data pipeline efficiency, identifying opportunities to leverage AI and machine learning, and collaborating with leadership to define team growth, hiring needs, and strategic priorities.

Skills

Data Science

Marketing Analytics

MMM (Marketing Mix Modeling)

MTA (Multi-Touch Attribution)

Statistical Modeling

Machine Learning

Model Validation

Experiment Design

Data Pipelines

Leadership

Mentoring

DoubleVerify

Digital advertising verification and analytics services

About DoubleVerify

DoubleVerify ensures the quality and effectiveness of digital advertising for major brands. The company provides verification and analytics services that help brands, advertisers, platforms, and publishers confirm that their ads are seen by real people, are placed in safe environments, and effectively reach their target audiences. Their services include checking ad viewability, preventing fraud, and ensuring brand safety by using advanced technology and dedicated teams to identify and combat fraud schemes. Unlike many competitors, DoubleVerify focuses on providing comprehensive analytics that help clients maximize their advertising budgets and improve returns on investment. The goal of DoubleVerify is to enhance the trust and effectiveness of digital advertising, making it a reliable channel for brands to connect with consumers.

New York City, New YorkHeadquarters

2008Year Founded

$385.7MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

1,001-5,000Employees

Benefits

401(k) Company Match

Performance Bonus

Company Equity

Risks

Ad-blocking software usage may reduce the effectiveness of DoubleVerify's verification services.

Privacy-focused regulations could limit DoubleVerify's ability to track and verify ad performance.

Growing competition from companies like Integral Ad Science pressures DoubleVerify to innovate.

Differentiation

DoubleVerify offers industry-leading GenAI protection against low-quality AI-generated content.

The company provides comprehensive media quality authentication across diverse digital channels.

DoubleVerify's News Accelerator program leverages engaged news audiences while ensuring brand suitability.

Upsides

Increased demand for CTV advertising optimization tools boosts DoubleVerify's AI-powered solutions.

Growing importance of GenAI protection aligns with DoubleVerify's recent product launch.

Expansion to platforms like Spotify indicates a trend towards comprehensive media quality authentication.

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