Lead Data Scientist

job
  • Electronic Arts
Job Summary
Location
Redwood City ,CA 94061
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
01 Feb 2025
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Job Description

General Information Locations : Redwood City, California, United States of AmericaLocation: Redwood CityCountry: United States of AmericaRole ID: 207702 Worker Type: Regular Employee Studio/Department: Marketing Flexible Work Arrangement: Hybrid Description & Requirements We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination. About the Team The Ventures Innovation team at Electronic Arts is dedicated to exploring new opportunities beyond the bounds of traditional gaming; specifically new opportunities across the rapidly evolving industry as well as disruptive forms of sports entertainment. As part of the Experiences organization, we are a forward-thinking team of innovators, strategists, creatives, engineers, and statisticians. Together, we incubate disruptive products, features, and capabilities that sit outside the core gaming experiences of EA, breaking new ground in interactive experiences and sports entertainment. The Role And we want you to join us. We are hiring a Lead Data Scientist for our EA Ventures organization, reporting to our Director of Innovation. Your mission is to bring ideas to life by harnessing the latest technologies (and data!) to define the future of interactive entertainment.Your Responsibilities:Design and build NLP/ML/AI models integrated into new player-facing products, leveraging cutting edge technology to shape the future of interactive entertainmentBuild effective relationships with Engineering Leads, Product Designers and other partners to create requirements and execute new data-powered experiencesIdentify, source, examine, clean, visualize and prep datasets for statistical analysisDeploy models for production into AWS SageMaker and work with our technical partners across EA to identify and manage proper data feedsCommunicate modeling results in business-friendly language to partners and department leadership, driving effective business decisions.Measure and monitor model accuracy over time, manage model drift; retrain model when accuracy drops below agreed-upon thresholdAssist in designing A/B tests, including determining hypotheses, lift and sample size calculations and runtime recommendationsYour Qualifications:Master’s in computer science, mathematics, or related field, with experience in research and developmentExperience with machine learning and familiarity with multiple ML techniques. Expert in at least one Statistical Programming Language such as R or PythonExperience with AWS SageMakerDemonstrated success turning new ideas into effective implementationsJob-specific technical skills:Expert in Data ingestion and munging, like extracting elements of a json object, feature extraction, stratified sampling and dimensionality reduction techniques (i.e. Principal Component Analysis)Expert in Exploratory Data Analysis including visualizations, summary statistics, identifying and imputing missing data and checking for data quality problemsExpert in statistical concepts such as descriptive statistics, percentiles and outliers, central limit theorem, distance measures, probability theory, bayes theorem, continuous distributions, hypothesis testing and regression modelingExperience with unsupervised and supervised Machine Learning models (i.e. Decision trees, Naive Bayes, Clustering, Ranking, Classification) as well as Machine Learning concepts like boosting, dealing with imbalanced classes, train, test vs. validation set and overfittingBonus: Experience with NLP concepts such as Named Entity Recognition, constructing Document-Term-Matrices, Topic Modeling, Text Classification and LLMsBonus: Experience with model lifecycle management concepts such as model bias and drift, constructing data labeling jobs for collection of 'golden dataset', and model deployment, monitoring and decommissioning in AWS SageMakerJob-specific soft skills:Player Centric – You put the consumer at the center when designing new offerings and processes. You understand how decisions and work impact the player.Learner – You have a passion for learning new technologies, products, and consumer behaviors. You are passionate about using data to inform insights into new opportunitiesTeam Player – You can work with a cross-functional team, understanding how your skills complement those around you to build the best experiences for customersDocumentation Expert – You know just the right level of documentation to share your learnings and set up the broader teams for success when new ideas take flightTeacher – You are patient and can field questions from team members around better coding practices or statistics related problemsExperiment Designer – You can create up an A/B test in your sleep, but you don't let a less than ideal A/B test set up stop you from finding some answersNLP fanatic – You can turn language into math? Yeah – that's the stuff you love!COMPENSATION AND BENEFITS: The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).California (depending on location e.g. Los Angeles vs. Sacramento): $161,100 - $239,700 USDIn the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.About Electronic Arts: We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.#J-18808-Ljbffr

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