What are the responsibilities and job description for the Lead Data Scientist position at Avature?
Locations : Redwood City, California, United States of AmericaRole ID 207702Worker Type Regular EmployeeStudio / Department MarketingFlexible Work Arrangement HybridDescription & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. A community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.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 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 entertainment.Build effective relationships with Engineering Leads, Product Designers and other partners to create requirements and execute new data-powered experiences.Identify, source, examine, clean, visualize and prep datasets for statistical analysis.Deploy models for production into AWS SageMaker and work with our technical partners across EA to identify and manage proper data feeds.Communicate 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 threshold.Assist in designing A / B tests, including determining hypotheses, lift and sample size calculations and runtime recommendations.Your Qualifications : Master’s in computer science, mathematics, or related field, with experience in research and development.Experience with machine learning and familiarity with multiple ML techniques. Expert in at least one Statistical Programming Language such as R or Python.Experience with AWS SageMaker.Demonstrated success turning new ideas into effective implementations.Job-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 problems.Expert 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 modeling.Experience 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 overfitting.Bonus : Experience with NLP concepts such as Named Entity Recognition, constructing Document-Term-Matrices, Topic Modeling, Text Classification and LLMs.Bonus : 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 SageMaker.Job-specific soft skills Player Centric – You put the consumer at the center when designing new offerings and processes.Learner – You have a passion for learning new technologies, products, and consumer behaviors.Team Player – You can work with a cross-functional team.Documentation Expert – You know just the right level of documentation to share your learnings.Teacher – You are patient and can field questions from team members.Experiment Designer – You can create up an A / B test in your sleep.NLP fanatic – You can turn language into math!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. 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).BASE SALARY RANGES : $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.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. We empower you to do great work and pursue opportunities for growth.Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to any characteristic protected by law.#J-18808-Ljbffr
Salary : $161,100 - $239,700
