Scientifique principal des donnees / Senior Data Scientist

Electronic Arts; Austin (TX); On-site; USD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where your expertise in data analysis and machine learning will drive impactful decisions. Collaborate with talented teams to enhance business operations and deliver insights that shape the future of entertainment. In this role, you'll leverage your skills in statistical programming and data visualization to transform complex data into actionable strategies. This is an exciting opportunity to contribute to a vibrant community that values creativity and innovation while enjoying a comprehensive benefits package that supports your personal and professional growth.

Benefits

Paid time off

New parent leave

Free games

Comprehensive wellness program

Qualifications

• 3+ years of experience in Data Science with some NLP experience.
• Proven ability to break down large projects into tasks.

Responsibilities

• Identify, clean, and prepare datasets for analysis.
• Deploy models in AWS SageMaker and monitor performance.

Skills

Data Science

Natural Language Processing (NLP)

Statistical Programming (R/Python)

SQL

Exploratory Data Analysis

Machine Learning

Education

Master's in Statistics

Bachelor's in relevant field

Tools

AWS SageMaker

Job description

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of 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.

The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate business outcomes in service of our goals.

And we want you to join us. We are hiring a Senior Data Scientist for our CXO Data & Analytics team in Austin, Toronto, or Montreal reporting to the Director of Decision & Data Science. This is an individual contributor role with no managerial responsibilities.

Responsibilities:

• Identify, source, examine, clean, visualize and prep datasets for statistical analysis
• Model datasets and perform model fit tests
• Build effective relationships with Product Managers and other partners to identify and execute new Data Science opportunities across the CXO Department and EA at large
• Communicate modeling results in business-friendly language to partners and department leadership by building PowerPoint presentations
• Deploy models for production into AWS SageMaker and work with our IT department to identify the necessary data feeds so models can produce inference
• Work with our UX designers to decide how model results will be shown in an application
• Monitor model accuracy over time and keep an eye out for model drift; retrain model when accuracy drops below agreed-upon threshold
• Periodically report back to partners on model performance
  
  

Qualifications:

• 3 or more years experience in Data Science with some experience in NLP (Natural Language Processing)
• Master's in Statistics, Operations Research or related field (we will consider a Bachelor's degree with significant relevant experience)
• Proven track record in breaking down large projects into tasks and executing against them
  
  

Technical skills:

• Expert in at least one Statistical Programming Language such as R or Python
• Experience with relational and distributed databases (SQL)

Job-specific 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 and Text Classification
• 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
  
  

Soft skills

• Customer Centric - You put the customer/player at the center when designing new offerings and processes. You understand how decisions and work impact the player.
• People Analyst - You understand that your work contributes to improving people's experiences, not predict when a machine is going to break down
• Learner - You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that cutting edge technique to good use you read about last month
• Documentation Expert - You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why

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.