Senior Data Scientist – Measurement at Samba TV

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, Advertising, TechnologyIndustries

Requirements

Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field
7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline
Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling; background in Bayesian statistics or hierarchical modeling for uncertainty quantification
Proven track record building attribution and incrementality solutions for TV and cross-media campaigns
Advanced programming skills in Python and SQL; familiarity with Spark or other distributed compute frameworks
Demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects
Able to visualize data in a way that makes it easy for others to understand
Detail-oriented, highly organized, and proactive
Strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences
Thrive in a dynamic, fast-paced Agile and global environment, and being a team player
Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices (preferred)
Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.) (bonus)
Track record of publishing research (bonus)

Responsibilities

Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns
Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs
Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels
Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment
Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability
Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making
Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities
Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility

Skills

Key technologies and capabilities for this role

PythonSQLSparkETLMachine LearningCausal InferenceA/B TestingUplift ModelingSynthetic ControlsBayesian ModelsFeature EngineeringAudience SegmentationMulti-Touch Attribution

Questions & Answers

Common questions about this position

What is the employment type for this Senior Data Scientist role?

This is a US full-time salaried position.

Is this Senior Data Scientist position remote or office-based?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Master’s or advanced degree in Statistics, Econometrics, Data Science, or related field, 7-10 years in advertising/marketing analytics or media measurement, expertise in causal inference techniques like RCT design and uplift modeling, and proficiency in SQL, Spark, Python.

What does the team structure look like for this position?

The role reports to the VP of Data Science on the Measurement Sciences team and involves partnering with data engineering and DevOps teams, as well as mentoring junior data scientists and analytics engineers.

What makes a strong candidate for this Senior Data Scientist position?

A strong candidate has 7-10 years in advertising or media measurement analytics, expertise in causal inference and uplift modeling, experience building attribution solutions for TV, and hands-on skills in SQL, Spark, and Python for the full analytics lifecycle.

Samba TV

Audience measurement and analytics for smart TVs

About Samba TV

Samba TV provides audience measurement and insights for the television industry, focusing on the smart TV market. Their technology is integrated into 35 million TVs globally, allowing them to collect and analyze extensive viewership data. This data helps advertisers, broadcasters, and content creators understand viewer behavior and improve their advertising and content strategies. Samba TV's audience measurement system is significantly larger than traditional methods, offering more accurate data. The company operates on a business model where clients pay for access to their data and analytics, ensuring privacy compliance and giving viewers control over their data sharing. The goal of Samba TV is to enhance the television viewing experience through detailed insights and measurement services.

San Francisco, CaliforniaHeadquarters

2008Year Founded

$44.4MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Flexible Work Hours

Remote Work Options

Professional Development Budget

Mental Health Support

Company Equity

Employee Discounts

Risks

Increasing competition from Roku and Amazon challenges Samba TV's market share.

Privacy-focused regulations may increase compliance costs for Samba TV.

Shift towards ad-free streaming services could reduce demand for advertising insights.

Differentiation

Samba TV partners with 20 smart TV brands, embedding technology in 35 million TVs.

Proprietary multi-source panel is 100 times larger than traditional measurement systems.

Offers comprehensive audience measurement and actionable insights for advertisers and content creators.

Upsides

Growing demand for cross-platform measurement solutions boosts Samba TV's market potential.

Acquisition of Semasio enhances capabilities in privacy-compliant contextual targeting.

Partnerships with digital audio platforms expand audience insights across media channels.

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