ML Software Engineer

Location : US (Remote)

Employment Type : 18 months contract

Experience : 3+ years

Job Description

Disney Media and Entertainment Distribution group is seeking a talented and creative softwareengineer/data scientist. In order to build and deploy Data Science models at the scale andvelocity required for Personalization, Forecasting, Marketing, Content/User Segmentation, andother services at the user and session level at various timescales, our team of Data Scientistsrequires 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 informsdecisions affecting millions of consumers, with a direct tie to The Walt Disney Company’srevenue. It spans a broad range of subject areas, including analysis of marketing effectiveness,user frequency, fan engagement, personalization, predicting future consumer behavior, andcontent optimization. We are a tight and driven team with big goals, so we seek people who arepassionate about solving the toughest challenges and working at scale, using and buildingdistributed systems in a fast-paced collaborative team environment. Yet we also support ahealthy 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 learningmodels 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 testingopportunities
• 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 andDevOps

Basic Qualifications

• 3+ years experience with a proven track record of leveraging data to drive businessimpact.
• Degree in Computer Science, Mathematics, or related field.
• Expertise with common languages Python, R, Scala, Java and a proven ability to learnnew 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, Gensimetc.), 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: hypothesistesting, data wrangling, modeling, conclusion and handoff to engineering teams toimplement into production.
• Experience with probabilistic thinking and programming is a plus.

Additional Information

Equal Opportunity Employer Female/Minority/Veteran/Disability/Sexual Orientation/GenderIdentity