Staff Data Scientist

Title:   Staff Data Scientist

Company: Samsung Research America (SRA)

Lab:  Visual Display Intelligence

Location: Mountain View, CA

Lab Summary:  The Digital Media Solutions Lab at Samsung Research America is building a next-generation data platform to support Smart TV products and services. With offices in Mountain View and Irvine, CA, we are close to a number of our collaboration partners.  Our research and development include TV analytics, ads targeting, and personalized services. We ingest and process billions of records daily from millions of TVs in the field, and we are looking for an experienced professional to join our team on the development of an integrated data platform.

Position Summary:  Our ideal candidate should be adept at enterprise software development using large-scale distributed data processing technologies and machine learning.  They will work closely with other data engineers to implement data systems in production-stable environment.  Examples include real-time events, batch processing, machine learning (including GPU), data warehouses, and data APIs.  The successful candidate will be a team player, interested in the success of the entire team as a whole. 

Responsibilities Include:

• Design, develop and maintain distributed, large-scale, real-time event and log data processes in AWS environment
• Design and develop scalable data stores with sub-second query latency on highly multi-dimensional data
• Follow best practices for high availability, scalability and reliability of data processing components
• Perform capacity planning and cost estimates of proposed solutions
• Design telemetry KPIs and monitoring of all new components in preparation to DevOps transition for monitoring
• On-board new data sets and expose data insights through APIs
• Participate and provide feedback on architecture reviews, development processes, etc.
• Lead design and code reviews and coach junior team members
• They will be working on challenging data stream processing to enable real time analytics and advertisement use cases
• They will collaborate with data scientists on development and deployment of machine learning algorithms 

Experience Requirements:

• Deep knowledge of recommender systems and familiar with machine learning, information retrieval, data mining, statistics, NLP or related field
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark etc.)
• Proven demonstrated experience in Machine Learning, Deep Learning, and also implementing Machine learning models in Production
• Experience in Data Engineering (using Spark, Kafka, streaming, etc.)
• Experience in SQL or similar languages and development experience in at least one scripting language (Python, Perl, etc.)
• Experience with Redshift and other AWS technologies
• Experience utilizing Object Oriented design and programming with Java/Scala/Python skills to design, develop, and maintain large-scale web applications
• MS/PhD in Computer Science, Math, Physics, or equivalent combination of education, training and experience

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is $153,300 and $210,550, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

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.  In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Additional Information

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email SRA_HR@samsung.com.

Affirmative Action / Equal Opportunity

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.

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