The Walt Disney Company (France)
Senior Data Scientist
The Walt Disney Company (France), Santa Monica, California, United States, 90403
The Walt Disney Company Direct to Consumer’s (DTC)
Data Science team
combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+,
Hulu
and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that
ultimately influence
the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you! WHAT YOU'LL DO This role will improve title-level content engagement forecasting models in addition to creating models for content targeting
. Modeling
: Apply
state of the art
machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization. Deep analysis
: Analyze user behavioral data to
identify
patterns, uncover opportunities, and create
common understanding
of how people are interacting with the service and content. Visualization of Insights:
Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful 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 Bachelor’s degree in advanced Mathematics
, Statistics, Data
Science
or comparable field of study 5+
years related experience with developing machine learning models and conducting statistical analysis Deep understanding of machine learning concepts and statistical methods Ability to draw insights and conclusions from data to inform model development and business decisions Desire to collaborate with other data scientists, data analysts, and key business partners Proficient in analyzing data and developing ML models using Python (with ML frameworks like
tensorflow
, scikit-learn, etc.) Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.) Understanding of SQL and distributed data technologies (Hive, Spark) NICE TO HAVES MS or PhD in Computer Science, Engineering, Statistics, Economics,
Physics
or related quantitative field (
e.g.
Econometrics, Mathematics, Operations Research) Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan,
PyMC Experience fully integrating data science solutions into the business and operationalizing ML models #DISNEYANALYTICS #DISNEYTECH
The hiring range for this position in Santa Monica, CA and Glendale, CA is $138,900 to $186,200 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. #J-18808-Ljbffr
Data Science team
combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+,
Hulu
and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that
ultimately influence
the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you! WHAT YOU'LL DO This role will improve title-level content engagement forecasting models in addition to creating models for content targeting
. Modeling
: Apply
state of the art
machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization. Deep analysis
: Analyze user behavioral data to
identify
patterns, uncover opportunities, and create
common understanding
of how people are interacting with the service and content. Visualization of Insights:
Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful 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 Bachelor’s degree in advanced Mathematics
, Statistics, Data
Science
or comparable field of study 5+
years related experience with developing machine learning models and conducting statistical analysis Deep understanding of machine learning concepts and statistical methods Ability to draw insights and conclusions from data to inform model development and business decisions Desire to collaborate with other data scientists, data analysts, and key business partners Proficient in analyzing data and developing ML models using Python (with ML frameworks like
tensorflow
, scikit-learn, etc.) Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.) Understanding of SQL and distributed data technologies (Hive, Spark) NICE TO HAVES MS or PhD in Computer Science, Engineering, Statistics, Economics,
Physics
or related quantitative field (
e.g.
Econometrics, Mathematics, Operations Research) Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan,
PyMC Experience fully integrating data science solutions into the business and operationalizing ML models #DISNEYANALYTICS #DISNEYTECH
The hiring range for this position in Santa Monica, CA and Glendale, CA is $138,900 to $186,200 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. #J-18808-Ljbffr