Data Scientist - Bixby
Mountain View, CA
Applications have closed
Samsung Research America
For more than 70 years, Samsung has been at the forefront of innovation. Our discoveries, inventions and breakthrough products have helped shape the history of the digital revolution. We continue to expand our global reach and open new...Title: Data Scientist
Company: Samsung Research America (SRA)
Lab: Bixby
Location: Mountain View, CA
Lab Summary
Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc.
The Natural Language understanding team aims to create a delightful experience for Bixby customers by making Bixby understand the intent behind any spoken request quickly and accurately. You will collaborate closely with experts in Machine Learning and Natural Language Processing, and contribute to advancing the state of the art in human language understanding systems.
Position Summary:
As an NLP Engineer you will primarily focus on building the NLU platform for Bixby by working with Product Managers / Subject Matter Experts, Lab Leaders, Linguistic Experts, brainstorm different ideas, research, build POCs and propose solutions that cater to the broader business needs. You will work with a small and nimble team to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers to provide insights that will be beneficial to Bixby consumers.
Major Responsibilities:
- Develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques.
- Apply machine learning and data science techniques and design distributed systems.
- Research and develop statistical models for analysis.
- Develop company A/B testing framework and test model quality.
- Build in-bound and out-bound integration from various applications with our data-lake.
- Use your data and analytics experience to ‘see what’s missing’, identifying and addressing gaps in their existing logging and processes.
- Deep understanding of data architecture, Machine learning methods, Schema design, and dimensional data modelling.
- Hands-on experience with object-oriented programming languages (Java, Python, C++, Scala, Perl, etc.).
- Experience in analyzing large dataset to identify deliverables, gaps, and inconsistencies.
- Ability to see redundant parts of the pipeline, optimize and automate boring parts.
- Ability to tune schemas (i.e. partitions, compression, distribution) to minimize costs and maximize performance.
- Ability to execute tasks with minimal supervision.
Background, Experience& Qualifications:
- 3+ years of experience
- Bachelors, Master’s or Ph.D. in computer science, engineering, mathematics, or statistics
- 3+ Years of experience with building end-to-end systems based on machine learning or deep learning methods (ETL, modeling and deployment)
- Experience in statistical and data mining techniques (like boosting, generalized linear models/regression, random forests, trees, and social network analysis)
- Knowledge of advanced statistical methods and concepts
- Experience working with machine learning techniques such as artificial neural networks, clustering, and decision tree learning
- Experience using web services like Digital Ocean, Redshift, S3
- Experience with real time data pipelines using Apache Kafka, RabbitMQ
- 3+ years of experience building statistical models and manipulating data sets
- Experience working with distributed data and computing tools like Hadoop, Hive, Map/Reduce, MySQL, and Spark
Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
If you have a disability or special need that requires accommodation, please let us know.
Tags: A/B testing Computer Science Data Mining Data pipelines Deep Learning Distributed Systems Engineering ETL Hadoop Kafka Machine Learning Mathematics ML models MySQL NLP OOP Perl Pipelines Python Redshift Research Scala Spark Statistical modeling Statistics Testing
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs