Senior Data Scientist
Burbank, CA

Job Description

Job Description

Movies Anywhere (MA) is seeking a Data Scientist to oversee the design, build, and testing of formulas for complex metrics/KPIs, (Lifetime Value, Cost Per Registered User, Retention/Engagement), machine learning methods, and analytics models to support the Movies Anywhere team. This position will report to the Director of Analytics for MA. The goal of this team is to create a competitive advantage for MA using data.

Position Summary:

The Data Scientist will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. The role will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.

Job Type

Full Time

Segment

Direct-to-Consumer and International

Category

Data

Basic Qualifications

* 5 or more years relevant experience with a proven track record of leveraging analytics to drive significant business impact
* Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field
* Proficiency with a statistical analysis tool such as R and/or Python
* Relational, no-SQL, and/or columnar data experience
* Experience with SQL
* Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
* Proven track record in meeting aggressive deadlines
* Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum

Business

Direct-to-Consumer and International

Required Education

* Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field

Preferred Qualifications

* Machine learning experience
* Statistical knowledge and intuition - ideally utilized in A/B testing
* Experience with distributed databases and query languages like Spark and Scala
* Programming experience with a scripting language such as Python, Perl, Java, or Ruby
* PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
* Ability to tell a story with data - What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you're seeing in the data to make business recommendations

Postal Code

91504

Preferred Education

* PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field

Responsibilities

* Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
* Contribute to product features like offers, personalization, and recommender by analyzing complex data sets and developing algorithms to produce results that increase customer engagement.
* Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
* Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
* Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights

Job Description

Movies Anywhere (MA) is seeking a Data Scientist to oversee the design, build, and testing of formulas for complex metrics/KPIs, (Lifetime Value, Cost Per Registered User, Retention/Engagement), machine learning methods, and analytics models to support the Movies Anywhere team. This position will report to the Director of Analytics for MA. The goal of this team is to create a competitive advantage for MA using data.

Position Summary:

The Data Scientist will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. The role will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.

Basic Qualifications

* 5 or more years relevant experience with a proven track record of leveraging analytics to drive significant business impact
* Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field
* Proficiency with a statistical analysis tool such as R and/or Python
* Relational, no-SQL, and/or columnar data experience
* Experience with SQL
* Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
* Proven track record in meeting aggressive deadlines
* Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum

Required Education

* Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field

Preferred Qualifications

* Machine learning experience
* Statistical knowledge and intuition - ideally utilized in A/B testing
* Experience with distributed databases and query languages like Spark and Scala
* Programming experience with a scripting language such as Python, Perl, Java, or Ruby
* PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
* Ability to tell a story with data - What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you're seeing in the data to make business recommendations

Preferred Education

* PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field

Responsibilities

* Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
* Contribute to product features like offers, personalization, and recommender by analyzing complex data sets and developing algorithms to produce results that increase customer engagement.
* Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
* Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
* Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights