Jobs
Benefits & Perks
•Healthcare
•401(k)
•Paid Time Off
•Learning Budget
•Healthcare
•401k
•Learning
Required Skills
SQL
Python
A/B testing
Causal inference
Attribution modeling
Statistical modeling
Hypothesis testing
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 a Staff Data Scientist to join Samsung Ads Data Science team focusing on experimentation and measurement. This is a hands-on technical role where you'll build and implement advanced analytics solutions that power our advertising platform. You'll work closely
with cross-functional teams to develop sophisticated measurement frameworks, attribution models, and experimentation capabilities that drive data-informed decision-making across the organization.
Location: Mountain View, CA
Role and Responsibilities:
- Responsibilities● Design, develop, and deploy advanced experimentation frameworks and A/B testing infrastructure for our Machine Learning solutions
- Build and maintain comprehensive metrics and measurement systems to evaluate ML model performance and business impact
- Implement causal inference models and multi-touch attribution systems tracking
- Build and implement revenue potential assessment models and product sizing methodologies
- Research and prototype novel experimentation techniques addressing complex challenges like user behavior variability and data limitations
- Work closely with Product Managers, ML Engineers, and stakeholders to execute projects from conception to production
- Support strategic decision-making through rigorous statistical analysis and modeling
Experience Requirements:
- Master's degree with 4+ years of industry experience, OR PhD with 2+ years of industry experience
- Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related quantitative field
- Fluent in SQL and Python for data analysis, statistical modeling, and system development
- Strong hands-on experience with:
- A/B testing design, implementation, and statistical analysis
- Causal inference methodologies
- Attribution modeling and measurement frameworks
- Machine learning model evaluation and performance monitoring
- Statistical modeling and hypothesis testing
- Strong communication skills with ability to present complex technical concepts to diverse audiences
- Experience working in cross-functional teams with product managers and engineers
Skills and Qualifications:
Preferred Experience Requirements:
- Prior experience in advertising industry and real-time bidding (RTB) ecosystem
- Background in econometrics or marketing mix modeling
- Experience with large-scale data systems and cloud platform.
Compensation for this role, for candidates based in New York, NY, is expected to be between $190,000 ~ $225,000. 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 (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
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About Samsung
Reviews
3.7
15 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.5
Career
2.0
Management
1.8
15%
Recommend to a Friend
Pros
Hardware/technology leadership
Competitive salary offers for some roles
Sign-on bonuses available
Cons
Toxic culture and politics
Poor work-life balance with strict RTO policies
Micromanagement and employee tracking
Salary Ranges
22 data points
Senior/L5
Senior/L5 · Digital Transformation Manager
1 reports
$180,827
total / year
Base
$157,414
Stock
-
Bonus
-
$180,827
$180,827
Interview Experience
6 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
67%
Experience
Positive 33%
Neutral 33%
Negative 34%
Interview Process
1
Application Review
2
Phone Screen
3
Technical/Video Interview
4
Team Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Role-Specific Skills
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