Position: Senior Data Scientist
Location: NYC, NY
Job Description:
Responsibilities:
- Design, develop and manage large scale, big data-driven predictive models that are integrated with key product features. Some examples that are already under development or deployed include:
- A personalized video recommendation system that leverages robust, granular media and customer data sets, various modeling approaches and live multivariate testing
- A churn prediction and prevention engine that pairs predictive models with cross-channel messaging to prevent churn and win back subscribers
- Collaborate with Engineering and Advanced Analytics leads to establish analytic standards and platforms that scale and can be leveraged in various initiatives throughout the organization
- Ensure that testing and validation is a pervasive component of data science solutions
- Deliver world class data-driven products in partnership with cross functional teams (Product Managers, Data Engineers, Software Engineers, etc.)
- Communicate complex data science solutions, concepts and the results of analyses in a clear and effective manner to business stakeholders and technology leaders to maximize the effectiveness of data science initiatives
Required Skills & Experience:
- Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine learning models in high traffic applications
- Ability to write analytics code that can run in our production environment
- Command of principles of machine learning, statistical analysis, data mining algorithms, and mathematical segmentation and modeling
- Demonstrated experience in applying Machine Learning to at least one of the areas: Cluster Analysis, Probabilistic Modeling, Structured Prediction, Neural Net, or Anomaly Detection
- Data Wrangler: You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner
- Advanced knowledge of two or more of the following analytics languages/toolkits: Python (strongly preferred; specifically with scipy, numpy, scikit-learn etc), R, SQL, SAS, SPSS, or Matlab
- You’re a critical thinker with an ability to apply your analytical insights and modeling skills to a specific domain and application.
- Experience with Amazon Web Services (or similar cloud services platform)
- You're a self-starter that's highly accountable and will take ownership of delivering your work
- 2+ years of professional experience as a Data Scientist or equivalent analytics role
Strongly Preferred:
- Strong understanding of big data concepts and knowledge of big data languages/tools such as Hive, Pig, Mahout or Spark (MLLib)
- Experience operating in a Linux environment
- Recent experience building Recommender Systems is a big plus
- Experience with BI tools such as Tableau, Business Objects is a plus
- Experience with machine learning in a distributed setting e.g. with Hadoop or Spark is a plus
Send resume to adelina@jobs-n-jobs.com or adelinajohn279@gmail.com
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