ML Software Engineer

Key Skills

Apache Kafka, AWS, Data science techniques, DevOps, Docker, Java Programming, Jenkins, Keras software library, Kubernetes-K8s, Machine learning techniques, Optimization, Python Programming, R Programming, Scala Programming, TensorFlow

Job Description

Disney Media and Entertainment Distribution group is seeking a talented and creative software engineer/data scientist. In order to build and deploy Data Science models at the scale and velocity required for Personalization, Forecasting, Marketing, Content/User Segmentation, and other services at the user and session level at various timescales, our team of Data Scientists requires a ML Engineer to build (near) real-time data-ingestion pipelines and robust (faulttolerant) model serving infrastructure. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company’s revenue. It spans a broad range of subject areas, including analysis of marketing effectiveness, user frequency, fan engagement, personalization, predicting future consumer behavior, and content optimization. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using and building distributed systems in a fast-paced collaborative team environment. Yet we also support a healthy work-life-balance.

In this position, you will:

• Work together with data scientists to build and deploy models
• Leverage your in-depth knowledge of data science models to optimize them
• Research, design and develop the infrastructure required to build machine learning models at scale
• Build products/algorithms that will be used by millions of D+, E+ and Hulu subscribers
• Build and maintain self-service tools for Data Science Model
• Explore and analyze video viewership behavior data to discover future testing opportunities
• Present your research and insights to all levels of the company, clearly and concisely
• Collaborate across the org including Data Science, Data Engineering, Data Product and DevOps

Basic Qualifications

• 3+ years experience with a proven track record of leveraging data to drive business impact.
• Degree in Computer Science, Mathematics, or related field.
• Expertise with common languages Python, R, Scala, Java and a proven ability to learn new programming languages
• Expertise with Hadoop, Spark and related big data tools
• Proficiency with DevOps using Docker, Kubernetes, Jenkins etc.
• Experience with event messaging frameworks like Apache Kafka
• Familiarity with ML models and frameworks (TensorFlow, Keras, Scikit-Learn, Gensim etc.), implementing and optimizing them in large scale AWS platforms

Preferred Qualifications

• Advanced degrees are a plus.
• Strong data visualization skills to convey information and results clearly
• Experience with statistical analysis tools using R or Python.
• Ability to work independently and drive your own projects.
• Exceptional interpersonal and communication skills.
• Impactful presentation skills in front of a large and diverse audience.
• Innate curiosity about consumer behavior and technology
• A fan of movies and television is a strong plus.
• Ability to take a project or proof of concept through the full solution life-cycle: hypothesis testing, data wrangling, modeling, conclusion and handoff to engineering teams to implement into production.
• Experience with probabilistic thinking and programming is a plus.