Senior Data Scientist

Job Description

Your Mission
As a Sr. Data Scientist, you will develop and operationalize machine learning (ML) models as part of our game feature optimization initiatives, which include personalizing the player experience and optimizing analytically driven in-game systems. You will be responsible for:
• Building scalable recommendation systems and personalization models to create catered experiences for our Call of Duty playerbase.
• Designing, conducting and analyzing the results of controlled experiments (A/B tests).
• Researching and implementing novel ML approaches for new problems.
• Translating requirements from cross-disciplinary teams in Game Operations, Marketing, Game Studios, and Business Planning into data solutions.
• Synthesizing disparate data, detecting and working around broken data, and investigating every possibility until you have a thorough solution.
As a machine learning expert on the team, you will leverage your experience to steer data-driven discussions, improve internal processes, and communicate results to technical and non-technical colleagues. You will be a trusted member of an established team of data scientists and machine learning engineers, focused on ensuring player satisfaction in our games. You will accomplish this by:
• Designing MLOps pipelines to proactively identify and mitigate failures stemming from data drift, infrastructure changes, and model instability.
• Being a tenacious and self-directed problem solver.
• Driving towards visibility, accountability, and communication.
• Being team-oriented and able to build long-lasting and collaborative relationships effectively.
• Respectfully contributing your professional experience in every conversation.
• Listening with openness to others.
• Adapting quickly, having a high tolerance for ambiguity, and coordinating effectively on a team.
• Evangelizing ethical ML by being thoughtful about identifying, testing for, and reducing biases in models.
Player Profile
Minimum Requirements:
• MS/PhD in Physics, Mathematics, Statistics, Data Science, Operations Research, Economics, or another quantitative field.
• 4 to 8 years' experience as a Data Scientist.
• Prototype-to-production engineering skills in Python, including best practices such as unit testing, source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling.
• General machine learning expertise, i.e. regression, classification, clustering algorithms, Bayesian methods, bandit algorithms.
• Solid understanding of inferential statistics, e.g. statistical power analysis, significance testing, t-tests, ANOVA.
• Engineering experience in at least one cloud platform such as AWS, GCP, or Azure.
Bonus Points:
• Ph.D. with peer-reviewed publications and a proven track record of self-guided research.
• Experience with Recommender Systems, Bandit Algorithms, and/or
• Video game enthusiast with a solid understanding of the gameplay mechanics of first-person shooters.
Subject to eligibility requirements, the Company offers comprehensive benefits including:
• Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
• 401(k) with Company match, tuition reimbursement, charitable donation matching;
• Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
• Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
• If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/.
In the US, the standard base pay range for this role is $92,920.00 - $171,814.00 Annual. These values reflect the expected base pay range of new hires across all US locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

Jobcode: Reference SBJ-bxqwkx-216-73-216-18-42 in your application.