Lead Data Scientist
ASCAP
New York, NYThis was removed by the employer on 11/18/2016 12:13:00 PM PST
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Full Time Job
Job Description
Job Description:
(Please note ASCAP does not sponsor work authorizations)
ASCAP is the intersection for capturing listening data globally, hundreds of billions of data points per year from dozens of sources. This is an unique opportunity to build and run models for not only what is happening today but will be happening in the music industry. We want you to use your imagination to create innovative products to help ASCAP better serve our writers and publishers. The Lead Data Scientist will work collaboratively to design the next generation of unique data capabilities on behalf of ASCAP members, licensees and executives. This media analytics thought leader will have a hands on track record of building analytics that predict the performance of assets, prescribes pricing and promotional strategies, predicts churn, performs micro-segmentation and analyzes social media signals. The Lead Data Scientist will be responsible for near and long-term advanced analytics roadmap, market positioning and competitive differentiation.
Just a few of the things we want to model and predict
• Create unique models to explain and predict music popularity based on a diverse range of data
• Predict popularity across platforms e.g. satellite, terrestrial and digital
• Explain the social influencers today and who they will be tomorrow
Areas of responsibility/ accountability:
• Lead the development of ASCAP's machine learning team and overall capabilities, including hands on experience with ensemble techniques, neural nets, random and boosted forests and NLP
• Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
• Communicate the data narrative to wide range of audience, including song writers, music publishers, performers and executives.
Experience
• Five years of professional experience working as a Data Scientist in a machine learning environment working with large amounts of data such as two hundred million rows and three thousand columns from several internal and external data sources.
• Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
• Ability to design and develop automated advanced analytics work-streams is very important.
• Masters degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Skills
• Command-line scripting, data structures and algorithms, specific experience with Scala, Python and/or Java is a must.
• Ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and databases such as Hadoop, Spark and SQL.
• Ability to design and develop automated advanced analytics work-streams is very important.
• Masters degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Besides providing a unique and dynamic work environment, there are a few other reasons you should consider ASCAP in your career planning. We also offer generous benefit options that are comprehensive and provide the flexibility that most employees want and need. These health care and financial plan options include the following:
• A choice of either HMO or Point-of-Service (POS) medical and dental plans
• Immediate eligibility for 401(k) participation with match
• Generous time-off policy
• Health care and dependent care flexible spending accounts
• Long term disability insurance
• Basic life insurance, supplemental and dependent life insurance options
• Employer paid retirement savings program