Data Scientist II - Topps

New York - New York

Applications have closed

Fanatics Inc

Fanatics offers the broadest assortment of fan merchandise and memorabilia worldwide.

View company page

About the TeamFanatics Collectibles is a new company working at the intersection of collectibles and technology. Backed by some of the best investors, sports properties and operators in the world, we are integrating with Fanatics’ global digital sports platform – which includes 900 sports relationships and more than 81 million reachable fans - to reimagine the collectibles business for the 21st century.
OverviewFounded in 1938, The Topps Company, Inc. is a global consumer products company that entertains and delights consumers through a diversified, engaging, multi-platform product portfolio that includes physical and digital collectibles, trading cards, trading card games, sticker and album collections, memorabilia, curated experiential events, gift cards and novelty confections. Topps Physical Sports & Entertainment products include Major League Baseball, Major League Soccer, UEFA Champions League, Bundesliga, National Hockey League, Formula 1, Star Wars, WWE, Wacky Packages®, Garbage Pail Kids®, Mars Attacks® and more. Topps Digital Sports & Entertainment has connected with people around the world who have downloaded our apps including Topps® BUNT®, TOPPS®KICK®, Star Wars™: Card Trader by Topps®, Topps® WWE SLAM™, Topps® NHL SKATE™, Marvel Collect! by Topps® and Disney Collect! by Topps®. Topps Digital Services is a leading processor, distributor and program manager of prepaid gift cards and provider of cloud-based financial services and white label e-gift solutions for widely recognized digital businesses that include Airbnb, Deliveroo, DoorDash, Hulu, Instacart, Netflix, Nike, Twitch and Uber. Topps Confections, Bazooka Candy Brands, produces, markets and distributes confections brands including Ring Pop®, Push Pop®, Baby Bottle Pop®, Juicy Drop®, Finders Keepers®, and Bazooka® bubble gum. For additional information visit topps.com, play.toppsapps.com, toppsdigitalservices.com, Candymania.com Topps Digital is a world-class digital group that is delivering the highest quality mobile sports and entertainment apps to fans all over the world. We have developed a portfolio of apps that has quickly expanded to include titles across both sports and entertainment, providing users with a fun and interactive experience that marries the thrill of collecting and trading with the instant gratification of digital collectibles. We are seeking a Data Scientist II to provide our product decision-makers with insights to make the best possible products for our fans. 

Responsibilities

  • Modeling user behavior to better understand how users interact with our applications 
  • Work closely with product owners and business customers to gather requirements 
  • Lead our data engineers to communicate data requirements and needs 
  • Conducting A/B testing for mobile apps 
  • Developing production quality machine learning solutions and design of probabilistic models 
  • Take the lead in developing data products within our mobile applications, i.e. recommendation systems 
  • Clearly communicate output of models to key product owners/ business customers 
  • Recognize and adopt best practices in modeling including data cleaning, feature engineering, testing, maintainability, validation and documentation 

Qualifications

  • 5+ years of experience in a Data Science/Analytics role
  • Experience leading data teams (including engineers, scientists, analysts)
  • Code proficiency on at least one of the following languages: Scala, Python, R 
  • Familiarity with ubiquitous data science libraries i.e. pandas, sckitlearn, tidyverse, ggplot, matplotlib, keras, tensorflow, etc.
  • High interest on Big Data processing 
  • High interest in probabilistic modeling and statistical methods 
  • Interest in machine learning 
  • Experience on AWS is a plus 
  • Familiarity with Spark/Databricks is highly valued 
  • Familiarity with Mongo/Postgres is a plus
  • Familiarity with SQL is a plus 
  • Analytical/mathematical mindset 
  • Good communication skills 
  • Intellectual curiosity. Passion for learning and exploring 
  • BS/BA in either Computer Science, Statistics, Mathematics or related field required  
  • Masters in Computer Science, Statistics, Mathematics, Data Science or related field a plus 
Fanatics is building the leading global digital sports platform to ignite and harness the passions of fans, and maximize the presence and reach for hundreds of partners globally. Leveraging these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as the global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings across the sports ecosystem.  
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, a transformative company that is building a new model for the hobby and giving collectors an end-to-end collectibles experience; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Additional ventures that will build out Fanatics’ footprint across the broader digital sports landscape will be rolled out soon.  Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.  As a market leader with more than 8,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives. At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.   
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing AWS Big Data Computer Science Databricks Engineering Feature engineering Keras Machine Learning Mathematics Matplotlib Pandas PostgreSQL Python R Scala Security SLAM Spark SQL Statistics TensorFlow Testing

Perks/benefits: Team events

Region: North America
Country: United States
Job stats:  10  0  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.