Amazon
Data Scientist, Amazon Music - DISCO
Amazon - San Francisco
Work at Amazon
Overview
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Overview
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power the Music product experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across product, science and finance teams to scale and advance our science offerings. The ideal candidate must be willing to effectively lead large scale science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.
Key job responsibilities
Lead research and development of models and science products powering personalized recommendations Partner with Product leaders at Amazon Music to develop science-driven business strategy Partner with science, marketing and product teams across Amazon entertainment and subscription businesses Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions. Lead DISCO CPT science practice and provide coaching to a distributed team of scientists Develop models to determine drivers of key performance metrics like MAU and HPC and automate the process of deep diving into variances in these metrics Collaborate with product and engineering teams to design rigorous experiments to evaluate the impact of new features or algorithms (e.g., the Playlist Song Recommendation experiments). Analyze the results of these experiments, identify learning, and provide recommendations to optimize the solutions Partner with Sr. Data Scientists to analyze and propose key experimentation success and guardrail metrics for business Evangelize the use of experimentation and advanced analytics science across the organization BASIC QUALIFICATIONS
Bachelor's degree 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience 2+ years of data scientist experience Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit 9, 2024 (Updated about 1 hour ago)
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Key job responsibilities
Lead research and development of models and science products powering personalized recommendations Partner with Product leaders at Amazon Music to develop science-driven business strategy Partner with science, marketing and product teams across Amazon entertainment and subscription businesses Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions. Lead DISCO CPT science practice and provide coaching to a distributed team of scientists Develop models to determine drivers of key performance metrics like MAU and HPC and automate the process of deep diving into variances in these metrics Collaborate with product and engineering teams to design rigorous experiments to evaluate the impact of new features or algorithms (e.g., the Playlist Song Recommendation experiments). Analyze the results of these experiments, identify learning, and provide recommendations to optimize the solutions Partner with Sr. Data Scientists to analyze and propose key experimentation success and guardrail metrics for business Evangelize the use of experimentation and advanced analytics science across the organization BASIC QUALIFICATIONS
Bachelor's degree 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience 2+ years of data scientist experience Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit 9, 2024 (Updated about 1 hour ago)
#J-18808-Ljbffr