Senior Staff Data Scientist

Position Summary

Position Summary

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry's most comprehensive data to build the world's smartest advertising
platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on the most challenging projects with stakeholders and teams located around the globe.

We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We
thrive on problem-solving, breaking new ground, and enjoying every part of the journey.

We are seeking an experienced Senior Staff Data Scientist to lead our experimentation admeasurement initiatives at Samsung Ads Data Science team. This is a high-impact technical leadership role where you'll shape how we measure success, optimize our advertising platform,
and drive data-informed decision-making across the organization. You'll work at the intersection of advanced analytics, product strategy, and engineering to build robust frameworks that power
our advertising ecosystem.

Location: Mountain View, CA

Role and Responsibilities

Responsibilities
Technical Leadership
Serve as the technical lead for experimentation and measurement initiatives within the data science team of Samsung Ads

Collaborate closely with Product Managers, ML Engineers, and cross-functional stakeholders to define and execute high-impact projects from conception to deployment

Provide mentorship and technical guidance to data scientists on the team.

Experimentation and Measurement Framework Scale and enhance our ML A/B testing framework to support sophisticated experimental designs and rapid iteration

Build comprehensive metrics and measurement frameworks to evaluate machine learning model performance and business impact

Deploy standardized revenue potential assessment models and sizing methodologies to guide product investment decisions

Advanced Analytics & Attribution

Design and implement comprehensive measurement systems that track operational, product, and ML contributions across our entire advertising platform

Develop sophisticated causal inference models and multi-touch attribution frameworks to understand true business drivers

Create systematic processes and automation pipelines that convert analytical insights into concrete business actions with clear accountability

Experience Requirements:
Master's degree with 8+ years of industry experience, OR PhD with 6+ years of industry experience
Degree in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
Deep understanding and hands-on experience with:
Advanced experimentation methodologies and A/B testing frameworks Causal inference techniques and statistical modeling
Attribution modeling and multi-touch attribution systems Machine learning evaluation and measurement frameworks
Fluent in SQL and Python for data analysis, modeling, and automation

Experience with large-scale data systems and cloud platforms
Excellent communication skills with proven ability to influence stakeholders and drive cross-team decisions
Experience mentoring and leading technical teams

Skills and Qualifications

Preferred Experience Requirements:
Prior experience in advertising industry and real-time bidding (RTB) ecosystem
Background in econometrics or marketing mix modeling
Hands-on experience with production-grade machine learning solutions and/or software development

Compensation for this role, for candidates based in New York, NY, is expected to be between $240,000 ~ $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.