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Sr. Decision Science Strategist

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Sr. Decision Science Strategist in San Diego, United States

  • PlayStation
  • Full time
  • Senior
  • Email
  • San Diego, United States
  • 23/09/2021
  • Report

PlayStation isn’t just the Best Place to Play —it’s also the Best Place to Work. We’ve thrilled gamers since 1994, when we launched the original PlayStation. Today, we’re recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

 

Sr. Decision Science Strategist

San Diego, CA 

The E-Commerce (D2C) Decision Science team's charter consists of Data Science, Data Engineering, and ML Engineering practices. These teams together are uniquely positioned to be able to provide services across the whole customer experience including the PlayStation Stores and back-end Fraud and Payment systems.

We are looking for a hardworking individual to assist in expediting adoption of data driven solutions provided by this Decision Science teams. This person will need to have deep experience with Decision Science and excellent communication skills to partner with senior business owners across the company. This role will have large impact across the broader organization as key data/data science solutions are deployed redefining existing business practices.

What you'll be doing:

  • The candidate will serve as the lead for both immediate team and external partners for Decision Science inquiries.
  • Partner with cross-functional teams to define success metrics, build approaches to supervise Decision Science adoption, quantify and evaluate the data, then develop a common language for all colleagues to understand the process.
  • Evangelize data knowledge, insights, and value of operating as a data driven organization
  • Education support of immediate team as well as external partners on the importance and benefit of using analytics. This should entail proactively sharing results, presenting new solutions as well as demonstrating constant monitoring of current ones.
  • Be a SME and Product Owner for various aspects for the Decision Science set of solutions.

What we're looking for:

  • Master’s degree in Data Engineering, Statistics, Operations Research, Computer Science or other related fields and a minimum of 7 years’ related work experience.
  • 5+ years working with statistical modeling techniques (Regression, CHAID, Neural Networks, Cluster Analysis, RFs, XGBs, etc.) required.
  • 5+ years working with data such as querying, storing, automating, programming

Preferred Qualities: 

  • Recent, hands-on experience working with multiple areas of Decision Science practices
  • Proven understanding of predictive modeling, data manipulation, data value assessment, Big Data and BI tools
  • Experience illustrating self-sufficiency on sophisticated projects with ability to drive tasks to completion.
  • Effective communication skills – being an influencing and occasionally persuasive person

#LI-SV1

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category.

Reasonable Accommodation Notice Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.

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