Engineer II, Machine Learning Software

Position Summary

Act as data scientist of the Samsung Ads Platform Intelligence (PI) team, including working with unique data to address existing product challenges, uncover new revenue/profit opportunities, and build end-to-end solutions with real-world impact.

Role and Responsibilities

Job Description:

Act as data scientist of the Samsung Ads Platform Intelligence (PI) team, including working with unique data to address existing product challenges, uncover new revenue/profit opportunities, and build end-to-end solutions with real-world impact. Work closely with different teams to develop insights and deliver end­ to-end production solutions to drive business and technical initiatives effectively. Work with talented engineers and top-notch machine learning researchers on exciting projects and state-of­ the-art technologies. Provide data-driven insights and deliver production-grade solutions to maximize the value of our data. Innovatively examine business health of and identify product bottlenecks in the entire Samsung. Work on the Ads ecosystem to unveil new business opportunities, help strategic decision making, and suggest technical solutions. Propose and deliver data science projects into production from end to end to drive business growth. Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. to solve challenging problems promptly. Closely work with the machine learning team to define and improve machine learning products. Provide data science support to various stakeholders, for example, designing experiments and evaluation metrics for different products. Effectively communicate with and present to a variety of audiences, such as the leadership team, engineering stakeholders, and product owners. Promote a data-driven culture within the company by coaching different stakeholders.

Minimum Education & Experience Requirements:

Master’s degree in Computer Science, Management Science and Engineering, Operations Research, Business Analytics, 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.

Applicant must have at 2 years of experience in the following: (1) Data-driven analytics to provide business insights and propose data-science solutions; (2) Machine Learning models including model development experiences using ML libraries, including TensorFlow, PyTorch and Spark ML; (3) Python or GO; (4) accessing and processing data with SQL, R, or Apache Hive; (5) statistical theories and methodologies, including assumption tests and causal inference; and (6) Big Data Processing tools including Spark or AWS.

Compensation for this role: $200,000 – $210,000/year

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Skills and Qualifications

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