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.
At Samsung Ads, we are actively distilling the maximum value out of data to drive business growth and solve complex problems. We are exploring the latest data mining and machine learning techniques to form a data-driven culture for decision making and product design. As a data scientist of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to address existing product challenges, uncover new revenue/profit opportunities, and build end-to-end solutions with real-world impact. You will work closely with different teams to develop insights and deliver end-to-end production solutions to drive business and technical initiatives effectively. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing with a growing team.
Location: Mountain View, CA
Responsibilities
- Lead a data science team as a tech lead to deliver production-grade solutions, maximizing data value and optimizing our systems
- Develop optimization and machine learning solutions for various components of the ad serving system, including but not limited to targeting, pacing, pricing, and bidding
- Drive business growth by proposing and delivering end-to-end data science projects into production
- Proactively analyze the business health of the Samsung Ads ecosystem, identify product bottlenecks, uncover new business opportunities, support strategic decision-making, and propose technical solutions
- Develop metrics and measurement frameworks to assess machine learning models, attribution, incrementality testing, and campaign performances
- Communicate effectively and present to diverse audiences, including leadership teams, engineering stakeholders, and product owners
Experience Requirements:
- Master’s or PhD degree in science or engineering fields
- 6+ years of industry experience with a Master’s degree or 4+ years of industry experience with a PhD degree
- Solid theoretical background in data analytics, data mining, machine learning, and statistics
- Outstanding problem-solving skills and creative thinking to address open challenges in various fields
- Proficiency in SQL and databases
- Strong programming skills in Python, Go, or other OOP languages
- Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
- Excellent communication and interpersonal skills
Preferred Experience Requirements:
- Hands-on experience with production-grade machine learning solutions and/or software development
- Experience with the advertising industry and real-time bidding (RTB) ecosystem
- Experience with advertising technology is ideal.
- Experience with ad pacing or bid optimization is ideal but not required.
CALIFORNIA ONLY
Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $230,000 and $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.
