Manager, Data Science - NBC Sports Next (Remote)
Minneapolis, MN, United States
Applications have closed
Company Description
NBC Sports Next is where sports and technology intersect. We’re a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our three groups: Youth & Recreational Sports; Golf; and Betting, Gaming & Emerging Media.
At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; GolfNow, the leading online tee time marketplace and provider of golf course operations technology; GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; TeamUnify, swim team management services; GoMotion, sports and fitness business software solutions; and NBC Sports Edge, a leading platform for fantasy sports information and betting-focused tools.
At NBC Sports Next we’re fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology that provides the ultimate in immersive experiences.
Job Description
This position is part of the Decision Science team under the Digital and Sports Consumer Businesses at NBC Sports & Fandango. This role is under Fandango, the largest movie ticketing platform, offering best-in-class movie and TV information, ticketing, trailers and original video, and home entertainment.
The primary focus of the role is to lead the development and improvement effort to Fandango marketing data product. At Fandango, we love movies, and we’d like to create innovative products that bring the best experiences for our fans and business partners. From showtimes and ticketing, to engaging content and innovations in movie going. We strive to deliver the perfect movie going experience anytime, anywhere. Thanks to an exceptional team, we’re working hard to make Fandango a little bit better every day.
In this role, you will work with a team of data scientists to deliver projects that leverage science and big data to create innovative marketing and personalization products. We expect the Manager in this role to versatile, display leadership qualities and enthusiastic about taking on new problems across our business as we continue to build great experiences for fellow movie fans.
Job Duties:
- Evaluate and improve advanced predictive and machines learning models; including propensity and churn models, look-a-like modeling of individuals across known, identified, and anonymous audiences.
- Optimize customer segmentation on a large scale using advanced scoring and classification techniques, e.g., Factorization Machines (FM) and Field Aware Factorization Machines (FFM).
- Aggregate large data sets in preparation for modeling from different data sources; including transactional, movie meta data and customer demographic and behavioral metrics and apply screening methods such as feature selection and dimensionality reduction to pick top features to the model.
- Troubleshoot issues and anomalies from existing models, explain and/or refine models to reduce anomalies.
- Analyze and extract relevant information about customer behaviors and preferences from both structured and unstructured data to better understand marketing opportunities, inform, and inspire internal & external stakeholders to make better business decisions.
- Collaborate with colleagues in marketing operations and IT to infuse predictive analytics into customer purchasing behavior, driving increased relevance and business performance.
Qualifications
- 5+ years’ prior hands-on experience in Marketing science; programming with statistical modeling tools to fuel and deliver audience segmentation, marketing personalization and business insights.
- Master’s Degree in Computer Science, Industrial Engineering, Statistics, Economics
- A minimum of 3 years of experience in SQL or Transact SQL querying language
- Advanced skills in Python, R
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to dis aggregate issues, identify root causes and recommend solutions
- Strong experience in manipulating and mining data to transform business decisions that impact the bottom line.
Additional Information
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.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
Tags: Big Data Classification Computer Science Economics Engineering Industrial Python R SQL Statistical modeling Statistics Unstructured data
Perks/benefits: Career development Fitness / gym Team events
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