DreamWorks Technology - Data Science Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Data Science and Engineering team at DreamWorks Animation is a cross-functional Data Science/Operations/Engineering team with involvement in all phases of application design, rollout and implementation. The Machine Learning / Data Science Engineer is responsible for using available data to engineer Machine Learning components, build APIs, and optimize systems. In this role you will be tasked to help build Machine Learning Systems used throughout the studio and solve interesting Data Scientific problems. You will play a key role in applying algorithms to generate predictions, in building Machine Learning Models and in working with Data used throughout the studio. 

SPECIFIC RESPONSIBILITIES

• Understand and contribute to current ML and Engineering solutions
• Identify, extract, clean and curate data from various sources. Develop best practices in data aggregation, cleansing and reporting 
• Build REST APIs to aid in the schema definition and definition of ingestion specifications to automate data ingres and processing
• Work on Machine Learning operations
• Build Predictive and Machine learning/Deep Learning models using CPU/GPUs
• Develop and Deploy ML models on Azure and do Machine Learning Inference
• Help support business decisions with data and partner with the business to implement new and innovative solutions and analytics that drive value
• Work closely with operations and software engineering teams to design and implement scalable high performance Big Data, ML systems and integration components

Qualifications/Requirements

• At least 3 years of relevant experience
• B.S. in Computer Science or equivalent experience
• Proficient with Python
• Good Unix/Linux experience required
• Sound knowledge of SQL & NoSQL databases, Git and Azure
• Sound knowledge of Math, Probability, Statistics and Algorithms
• Data modeling and data architecture skills
• Background in machine learning frameworks and NLP projects
• Strong written and verbal communications
• Kafka, Spark, ElasticSearch a plus

Desired Characteristics

• M.S. in Computer Science or relevant field
• Hands-on - completes tasks quickly and thoroughly, follows-through and is highly dependable
• Understands the bigger picture and can make architectural decisions towards a common goal
• Highly responsible, self-motivated, and able to thrive in an energetic, fast paced, high growth environment. Exhibits ownership of projects and tasks assigned
• Excellent organizational skills required to adapt to a constantly changing technical environment
• Strong team player with a customer service orientation with the ability to forge relationships at all levels of the company and across diverse cultures
• Have excellent communication skills – written, verbal and interpersonal