Overview
On Site
USD 200,000.00 - 210,000.00 per year
Full Time
Skills
FOCUS
ADS
Optimization
Statistics
Product Optimization
Data Science
Scalability
Leadership
Advertising
Computer Science
Mathematics
Operations Research
Data Wrangling
Testing
Regression Analysis
Time Series
Design Of Experiments
A/B Testing
Data Modeling
Machine Learning (ML)
Algorithms
Gradient Boosting
XGBoost
Value At Risk
Logistic Regression
Big Data
Apache Spark
Amazon Web Services
Data Processing
Python
Data Manipulation
Pandas
NumPy
scikit-learn
Privacy
Innovation
AIM
Law
Electronics
Job Details
Position Summary
Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions.
Role and Responsibilities
Job Description:
Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions. Focus on applying advanced ML techniques to address key product challenges, identify new revenue opportunities, and optimize performance across the Samsung Ads platform. Responsible for the full ML lifecycle - from problem definition and data exploration to model development, deployment, and monitoring - working closely with a talented team of engineers and researchers. Develop & Deploy ML Models including designing, building, and productionizing machine learning models to solve complex problems in areas like ad targeting and performance prediction. Data-Driven Optimization including utilizing statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth. ML Product Improvement including collaborating closely with the ML engineers to define, refine, and improve existing machine learning products and features. Take ownership of data science projects from inception to production, ensuring scalability and reliability. Data Exploration & Feature Engineering including extracting, cleaning, and transforming unique datasets to create impactful features for machine learning models. Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams. Contribute directly to the success of a leading advertising platform.
Minimum Education & Experience Requirements:
Master's degree in Computer Science, Mathematics, Operations Research, a related field, or a foreign equivalent plus 2 years of post-baccalaureate experience in job offered or any engineering/data scientist related job titles.
Applicants must have at least 2 years of experience in the following: (1) Data Wrangling & Integration including identifying, accessing, and integrating diverse data sources, including addressing data limitations and extending data applicability; (2) statistical theories and methodologies, including hypothesis testing, regression analysis, Bayesian methods, causal inference, time series analysis, and experimental design (A/B testing); (3) Data Modeling including transforming raw data into features and feature engineering techniques, including variable transformation, bucketization, and creation of calculated variables; (4) Machine Learning model developing from feature engineering to production deployment; (5) Machine Learning algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs, VAR, NNAR, and Logistic Regression); (6) model validation, including bias detection and error analysis; (7) Big Data Technologies including experience with Spark and AWS data processing services; (8) Python or Go; and (9) data manipulation libraries (Pandas, NumPy, Scikit-learn).
Skills and Qualifications
The salary range for this role is expected to be between $200,000 - $210,000/Year. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
No sponsorship available for this position.
* 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.
Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions.
Role and Responsibilities
Job Description:
Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions. Focus on applying advanced ML techniques to address key product challenges, identify new revenue opportunities, and optimize performance across the Samsung Ads platform. Responsible for the full ML lifecycle - from problem definition and data exploration to model development, deployment, and monitoring - working closely with a talented team of engineers and researchers. Develop & Deploy ML Models including designing, building, and productionizing machine learning models to solve complex problems in areas like ad targeting and performance prediction. Data-Driven Optimization including utilizing statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth. ML Product Improvement including collaborating closely with the ML engineers to define, refine, and improve existing machine learning products and features. Take ownership of data science projects from inception to production, ensuring scalability and reliability. Data Exploration & Feature Engineering including extracting, cleaning, and transforming unique datasets to create impactful features for machine learning models. Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams. Contribute directly to the success of a leading advertising platform.
Minimum Education & Experience Requirements:
Master's degree in Computer Science, Mathematics, Operations Research, a related field, or a foreign equivalent plus 2 years of post-baccalaureate experience in job offered or any engineering/data scientist related job titles.
Applicants must have at least 2 years of experience in the following: (1) Data Wrangling & Integration including identifying, accessing, and integrating diverse data sources, including addressing data limitations and extending data applicability; (2) statistical theories and methodologies, including hypothesis testing, regression analysis, Bayesian methods, causal inference, time series analysis, and experimental design (A/B testing); (3) Data Modeling including transforming raw data into features and feature engineering techniques, including variable transformation, bucketization, and creation of calculated variables; (4) Machine Learning model developing from feature engineering to production deployment; (5) Machine Learning algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs, VAR, NNAR, and Logistic Regression); (6) model validation, including bias detection and error analysis; (7) Big Data Technologies including experience with Spark and AWS data processing services; (8) Python or Go; and (9) data manipulation libraries (Pandas, NumPy, Scikit-learn).
Skills and Qualifications
The salary range for this role is expected to be between $200,000 - $210,000/Year. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
No sponsorship available for this position.
* 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.