Samsung
EngineerIII,MachineLearning
Neural analysis suggests this role is
optimal for Mid candidates.
“Engineer III, Machine Learning at Samsung. Skills: Machine Learning, Data Science, Python, AWS. Deliver production-grade solutions. Develop optimization solutions”
What You'll Achieve.
Maximizing data value; Optimizing systems; Drive business growth; Support strategic decision-making
Industry & Context.
Optimize systems; Identify product bottlenecks; Propose technical solutions
No sponsorship available
What They're Looking For.
Must Have
Master’s degree in Computer Science, Mathematics, Statistics, a related field, or a foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any data science related job titles, Data Wrangling & Integration, Applying statistical theories and methodologies, Data Modeling, Full lifecycle of Machine Learning model development, hands-on coding in Python, SQL, shell scripting, Big Data Technologies, data manipulation libraries (Pandas, NumPy, Scikit-learn), applying data structures and algorithms, object-oriented design
What You'll Do.
Deliver production-grade solutions
Develop optimization solutions
Develop machine learning solutions
Drive business growth
Deliver data science projects
Analyze business health
Identify product bottlenecks
Uncover business opportunities
Support strategic decision-making
Propose technical solutions
Develop metrics frameworks
Assess machine learning models
Assess incrementality testing
Assess campaign performances
How You'll Work.
Team & Collaboration
Communicate effectively; Present to diverse audiences; Present to leadership teams; Present to engineering stakeholders; Present to product owners
Communication Scope
Communicate effectively; Present to diverse audiences
Full Job Description
**Position Summary** **Role and Responsibilities** ** _Job Description_** : Work 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. **_Minimum Education & Experience Requirements:_** Master’s degree in Computer Science, Mathematics, Statistics, a related field, or a foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any data science related job titles. Applicants must have at least 3 years of experience in the following: (1) Data Wrangling & Integration including identifying, accessing, and integrating diverse data sources, including proactively addressing data limitations and extending data applicability; (2) Applying 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) Full lifecycle of Machine Learning model development - from feature engineering to production deployment. Proficiency in a wide range of algorithms (DNNs, RNNs
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