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Machine Learning Engineer - Data Science

Samsung Electronics America
Fontana, California, US
Full-time

Position Summary

Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.

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.

Responsibilities

  • Lead a data science team to 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 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.

Skills And Qualifications

Experience Requirements :

  • Master’s or PhD degree in science or engineering fields. 4+ years of industry experience with a Master’s degree or 2+ 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.

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.

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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14 days ago
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