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Senior Data Scientist

Warsaw, - - PL

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Job ID 764495BR Location Warsaw, Mazovia, Poland Business Disney Streaming Services Date posted Aug. 11, 2020

Job Summary:


Disney Streaming Services is responsible for developing and operating The Walt Disney Company’s direct-to-consumer video businesses globally, including the ESPN+ premium sports streaming service; Disney+, the dedicated streaming home for entertainment from Disney, Pixar, Marvel, Star Wars & National Geographic.

Our core mission is to deliver global audiences the freedom to access content on their terms across any connected device, time or location. We serve consumers by bringing the world’s most beloved characters, timeless stories, legendary athletes, and epic sporting events to global audiences through best-in-class direct-to-consumer video services.

We strive daily to imaginatively challenge convention with innovative technology that gives consumers the freedom to access content on their terms across any connected device, time or location. Disney+ launched in North America, Australia, and New Zealand at the end of 2019 an by the start of August 2020 we are available across North America, mainland Europe, and parts of Asia (India, Japan), with plans to expand in Europe and Asia. We already have over 60 million paying subscribers.

The Role:

Data Scientists in the Disney+ Personalization team specialize in applying machine learning methods to meet strategic product personalization goals, explore innovative techniques that can be applied to recommendations and constantly seek ways to optimize operational processes. As a member of this team you will collaborate across Data, Product, and Engineering teams to deeply understand challenges and develop automated solutions to be built into our products.

Your role will include:

  • Experimentation: Through a deep understanding of segmentation, you will design experiments, define success metrics, and ensure accurate results methodologically, technically, and statistically.

  • Model creation and algorithm development: Create models from available data sources (e.g., metadata, behavioral, explicit, etc.) to advance and optimize personalized recommendations. Use state-of-the-art machine learning and deep learning methods to develop algorithms using these models to score and predict the optimal mix of content at the most granular user levels.

  • Analysis: Perform deep dive analysis on app interactions and events to better understand user consumption behavior as it relates to personalization and recommendation.

  • Partnership: Collaborate with business stakeholders to help identify and define personalization opportunities. Work with other data teams to improve our data collection, experimentation, and analysis.

  • Data Preparation: Process, cleanse and verify the integrity of data used for model building, experimentation evaluation and algorithm performance

To thrive in this role you will have:

  • Extensive analytical experience

  • Experience using SQL

  • Experience writing production-level, scalable code (Python/Scala/C++)

  • Prior experience using Python/R or other statistical programming languages

  • Experience with cloud services (preferably AWS)

  • Experience with advanced data modeling and predictive analytics

  • In-depth understanding of modern machine learning (including deep learning, reinforcement learning) models and their mathematical underpinnings

  • Experience with deep learning, NLP, Neural Networks, and/or Bayesian modeling

  • Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.

  • Understanding of statistics concepts (e.g., hypothesis testing, regression analysis)

  • Explain how models are used and algorithms behave to both technical and non-technical audiences

It would help if you have:

  • Experience building and deploying full stack ML pipelines (data extraction, data mining, model training, feature development, regression testing, testing and deployment)

  • Experience with graph-based data workflows, such as Apache Airflow

  • Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks

  • Familiar with metadata management, data lineage, and principles of data governance

  • Experience loading and querying cloud-hosted databases such as Snowflake

  • Building streaming data pipelines using Kafka, Spark, or Flink

  • Familiarity with automated deployment, AWS infrastructure, Docker or similar containers

Additional info:

Our team are based in the Warsaw Disney office and offer (as well as a generous package), flexible working hours, experienced and professional colleagues, a workplace that supports innovation and new ideas, and learning and development opportunities.

If you would like to see more of the work we’re doing, follow us on Linkedin and Twitter, or follow our new Technology Blog “Disney Streaming Services - The Art of Possible”.

We are an equal opportunity employer. Applicants will receive consideration for employment without regard to age, race, colour, religion or belief, sex, nationality, ethnic or national origin, sexual orientation, gender reassignment, marital or civil partner status, disability, or pregnancy or maternity. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

About Disney Streaming Services:

Disney Streaming Services is responsible for developing and operating The Walt Disney Company’s direct-to-consumer video businesses globally, including the ESPN+ premium sports streaming service; Disney+, the dedicated streaming home for entertainment from Disney, Pixar, Marvel, Star Wars, National Geographic and BAMTECH Media, a global leader in direct-to-consumer video streaming products and solutions. Our core mission is to deliver global audiences the freedom to access content on their terms across any connected device, time or location. We serve consumers by bringing the world’s most beloved characters, timeless stories, legendary athletes, and epic sporting events to global audiences through best-in-class direct-to-consumer video services. We strive daily to imaginatively challenge convention with innovative technology that gives consumers the freedom to access content on their terms across any connected device, time or location.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with The Walt Disney Company (Polska ) sp. z o.o., which is part of a business segment we call Disney Streaming Services.

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