Disney Media & Entertainment Distribution Looking for Lead Data Scientist – Now Hiring at Atlanta, GA Full Time

Data Scientists at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.

As a lead data scientist in the Ads Data Solution Research team, you will be partnering closely with the Sales Analytics, Finance, Business Operations, Commerce Product and Engineering teams to develop models for tackling a multitude of exciting challenges, including revenue, inventory, delivery, outcome, pricing of advertising, customer lifetime value estimation, forecasting, fraud prevention and mitigation, and more. We look for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.

WHAT YOU’LL DO

• Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.

• Deep analysis: Develop comprehensive understanding of audience, brand and ad operational data structures and metrics. Mine large data sets to identify opportunities for driving advertising revenue, viewer ad experience, and subscriber growth and retention,

• Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.

• Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

WHAT TO BRING

• Master’s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)

• 7+ years of experience designing, building, and evaluating practical machine learning solutions

• 7+ years of experience with statistical programming language (e.g. Python, Spark, PySpark) and database languages (e.g. SQL)

NICE-TO-HAVES

• Doctorate’s degree in a quantitative discipline

• Excellent analytical skills, advanced level of statistics knowledge

• Strong expertise with Python and libraries such as scikit-learn, SciPy

• Familiarity with Bayesian modeling and probabilistic programming packages such as PyMC

• Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github

• Familiarity with data exploration and data visualization tools such as Tableau, Looker

• Familiarity with designing and analyzing A/B testing and other experiment types

• Demonstrated skills in selecting the right statistical tools given a data analysis problem

• Ability to adapt quickly in a fast-moving environment with shifting priorities

• Strong communication skills, for both technical and non-technical audiences

• Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones

• Demonstrated leadership experience, including people and project management

ADDITIONAL INFORMATION

#DISNEYTECH

The hiring range for this position in Santa Monica, California is $149,240 – $200,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.