DESCRIPTION
Freevee is Amazon's free, premium, ad-supported streaming service.
The Freevee's team mission is to be the best in free, ad-supported streaming by putting our customers first and innovating through relevant premium entertainment and advertising experiences. On Freevee, customers watch thousands of hit movies, shows, Freevee Originals produced by Amazon Studios, and live 24/7 entertainment channels for an enjoyable, quality, entertainment experience.
The Freevee team is shaping the future of digital video entertainment. Our mission is to build earth's most customer centric ad supported premium free video service and make it trivially easy for hundreds of millions of customers to enjoy.
We have learned that customer's love Freevee so we are looking for a Sr. Data Scientist to design, evangelize, and implement solutions to address complex, business questions using advanced statistical techniques, experimentation, and big data. You will work with business and tech leaders to conduct statistical analyses, develop data pipelines, build ML models, build tools to drive continuous experimentation, and provide recommendations based on data analyses. We are looking for creative thinkers who can combine a strong analytical toolkit with a desire to continue innovating, and who is able to execute and deliver on big ideas.
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This is very much Day 1 for Freevee so you would be joining an entrepreneurial and pioneering team that is building from scratch.
Competencies
- Apply statistical and machine learning methods to solve business problems.
- Use analytical insights to help increase teams' effectiveness against key strategic goals.
- Deal with ambiguity, conduct deep dive analyses on business problems, and formulate conclusions.
- Acquire, understand, and analyze large and complex datasets.
- Be familiar with AWS resources and know how and when to use them.
- Work closely with the Data Engineers and SDEs to drive model/solution development, improve data quality, validate models, and run A/B tests.
- Communicate with and influence customers and senior management.
BASIC QUALIFICATIONS
- Bachelor's Degree
- 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- 4+ years working as a Data Scientist
PREFERRED QUALIFICATIONS
- Experience in creating data driven visualizations to describe an end-to-end system
- Highly skilled in data and math/statistical methods (i.e. modeling, algorithms)
- Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
- Experience collaborating with marketing teams is a plus.
- Knowledge of cloud computing and AWS services is a plus.
- Prior experience in the Video space.
- Ph.D. in Statistics, Applied Mathematics or related field.