Data Scientist

Data Scientist

Location: Remote; Must be no more than 2 hours from Orlando or 2 hours from

Duration: 6 month Contract ; Possible extension or conversion Full time

Schedule/Commute: Remote; must be able to commute to Orlando Or Burbank at least twice.

Clearance/Work Authorization: U.S. Citizens or Green Card Holders Only

Pay Rate: $70/HR. on W2

Team Overview:

The Decision Science team focuses on creating innovative mathematical models to inform business decision making through data. The team is interested in all fields related to data science, with emphasis on statistics, operations research, econometrics, and machine learning.

• The Decision Science team resides within the Disney Decision Science + Integration (DDSI) organization. DDSI provides internal consulting services for clients across The Walt Disney Company. The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation and integration with business processes, and ongoing business support.

Position Overview:

The Decision Scientist will perform analytical consultation and tasks centered around scientific modeling, based on distinction in breadth or depth of technical knowledge.

Must-Haves:

1.) Python expertise (exp. w/production code, deploying models, etc.)

2.) SQL \*\*any variant but Snowflake best as it is used by the team\*\*

3.) Strong foundation in casual analysis and statistics (i.e., econometrics, revenue management context, including demand forecasting, resource allocation, and pricing)

4.) Minimum 3-5 years as a Data Scientist

\*\*From HM: I’m really looking for a heavier lean on statistics and causal analysis, so econometrics is another really good field for that. I’m not looking as much for AI, although that’s always nice to have. PhD candidates are preferred.\*\*

Nice-to-Haves:

• Knowledge of GitLab/GitHub, Docker, and cloud computing tools such as AWS

• Master’s +1 or more years of related/relevant experience

• Master’s or Ph.D. degree in Statistics, Mathematics, Econometrics, or related field

Responsibilities:

• Exhibit competence in at least one of the following analytical fields: inclusive of topics as noted:

o Statistics (two or more topics):

Bayesian statistics

Generalized linear models

Mixture models

Nonparametric regression

Structural equation models

Time series (state space models, ARIMA, etc.)

o Econometrics (two or more topics):

Generalized method of moments

Instrumental variables

Limited dependent variables

Panel data

Simultaneous equations models

o Machine learning (two or more topics):

Boosting

CART

Clustering

Graphical models

Neural networks

Random forests

Reinforcement learning

Support vector machines

• Ability to work with little guidance on science methodologies and modeling approaches, based on sound business acumen

• Ability to provide peer leadership to junior colleagues

• Apply statistical and analytical methods to support business and project needs

• Develop and work with data-driven solutions using Python and SQL

• Collaborate with stakeholders and project teams on ongoing analytics initiatives

Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company

Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users

Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems

Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and econometrics techniques

Tell the story—Present science results to business partners and clients

Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses such as theme parks and resorts (e.g., Walt Disney World), Disney Cruise Line, media (e.g., ABC, ESPN), movies (e.g. ,Walt Disney Animation Studios), live shows (e.g., Disney on Broadway), and retail (e.g., shopDisney)