Data Scientist

Job description

Responsibilities

·  Work with business owners and data architects to formulate hypothesis and discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and customer experience.
·  Apply data mining and/or machine learning techniques, doing statistical analysis, and build high quality robust forecasting, prediction and recommendation systems integrated with our products.
·  Gather data insights related to user behavior, product usage, audience segmentation, social media, marketing response, quality of services, and media consumption to drive business decisions.
·  Select features, build and optimize classifiers, recommendation systems, predictive scoring models and forecasting systems using machine learning techniques, data mining using state-of-the-art methods,
·  Extend/augment company's data with third party public/proprietary data sources of information when needed
·  Enhance data collection procedures to include information that is relevant for building analytic systems.
·  Process, cleanse, and verify the integrity of data used for analysis. Create automated anomaly detection systems and constant tracking of its performance
·  Perform ad-hoc analysis and presenting results and make recommendations in a clear manner to technical and nontechnical audience
·  Work with product management and internal stakeholders to help dictate the requirements and technical design of Fandango data services and related intelligence tools
·  Other duties as assigned
Job Number

41286BR
Posting Category

Digital Media
Country

United States
Sub-Business

Film Fandango
About Us

At Fandango, we love movies. From showtimes and ticketing, to engaging content and innovations in movie going- we strive to deliver the perfect movie going experience—anytime, anywhere. And to be the go-to destination for moviegoers, we think it's all about collaboration. Anyone can build a website or app, but it takes a special group across many disciplines to create an experience that can live across multiple platforms and connected devices. Thanks to an exceptional team, we're working hard to make Fandango a little bit better every day. Our 30 million (and growing!) online and mobile monthly visitors can now buy movie tickets at over 25,000 screens nationwide and stay for exclusive trailers, our award-winning original video series, movie reviews, celebrity interviews and more. So, if you're looking to inspire, be inspired and work at the intersection of entertainment and technology look no further than Fandango. Visit Fandango.com/careers for a behind-the-scenes look at Fandango and follow us on LinkedIn for the latest news and updates. Fandango is an NBCUniversal Company.
State/Province

California
Career Level

Experienced
Qualifications/Requirements

• Master's Degree in a quantitative field (Computer Science, Engineering, Economics, Statistics, Operations Research) and minimum 3 years of hands on experience in data science, machine learning, predictive modeling, data mining
• Excellent understanding of machine learning techniques and algorithms (at least 4 of the following): k-NN, Naive Bayes, SVM, Clustering, Regression (OLS, Logistic, MNL), Decision Forests, Linear and Nonlinear Optimization
• Application of Feature Selection, Feature Engineering in practical settings
• Data oriented personality, good applied statistics skills, such as distributions, statistical testing, probability theory, etc.
• Expertise with at least one programming/dev language (Python, R, Scala, Java, C#).
• Experience with BI reporting tools (Tableau, Microstrategy, SSRS, etc.).
• Experience with distributed data architectures and their eco-systems (Hadoop/EMR, Hive, Pig, Spark, etc.).
• Deep expertise in SQL and some experience with NoSQL databases, such as Cassandra, MongoDB, HBase
• Proven track record working on distributed, scalable, service-oriented platforms. Good scripting and programming skills, proven ability to deliver high quality, production ready code.
• Expert understanding of the agile software development life cycle.
• Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment.
• Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering.
• Must maintain regular and acceptable attendance at such level as is determined at the company's sole discretion.
• Must be available and willing to work extended hours (during crunch times!) per day including occasional weekends and holidays.
Desired Characteristics

• Willingness to dig into technical concepts/details related to the data platform.
• Must embrace the paradigm “Fail fast to innovate faster”- by trying several approaches
• AWS certifications
• Naturally inquisitive, self-learner, team player
• Stay on top of the latest innovations in algorithms and approaches
City

Beverly Hills
Notices

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.