Data Scientist I
About The Position
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. As a Data Scientist on the HBO Max Data Science team, this individual will have a deep understanding of different types of data, metrics and KPIs. You will be responsible for developing, maintaining, and improving forecast and causal models. You will be working closely with the content intelligence team, marketing team, research team, strategy team and finance team. Your models and analysis will be used to inform partners and leadership about subscription projection and forecast. You would be working with a wide array of datasets to craft industry leading models and analyses.
Requirements
- BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required.
- 1+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, causal inference etc.)
- Expertise in SQL, Python
- Experience in customizing optimization algorithms
- Ability to deliver on multiple projects and meet tight deadlines
Nice To Haves
- Masters/PhD is a plus
Responsibilities
- Design, build, improve machine learning forecast models.
- Work end to end from data collection, feature generation and selection, model building, forecasting
- Study and fully understand HBO Max data sources and extract most useful data for modeling
- Write efficient, correct queries to pull data for KPIs and metrics
- Monitor model outputs and validate model accuracy, propose ideas to enhance models
- Apply causal model to show cause-effect relationship between KPIs and factors affecting those
- Perform research to acquire best in class data science techniques and best practices to improve forecasting models
- Capture business requirements for data science solutions and communicate data science output and recommendations to inform business strategies
- Create dashboard/report to share forecast with internal/external stakeholders and leadership
- Present analysis to business partners and senior leadership and make recommendations
Benefits
- health insurance coverage
- an employee wellness program
- life and disability insurance
- a retirement savings plan
- paid holidays and sick time and vacation
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
11-50 employees
