Data Scientist (contract)

Data Scientist (Contract) Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft. Summary We are seeking a passionate and driven data science professional to join a dynamic, fast-paced team focused on delivering high-impact insights for one of the most iconic gaming franchises in the world. In this role, you will play a critical part in shaping strategy by providing reporting and analytics across consumer products and "beyond the game" initiatives, including licensed merchandise and out-of-game experiences. You will work closely with cross-functional stakeholder teams spanning Consumer Products, Partnerships, and Marketing to translate complex data into clear, actionable recommendations. This is a hybrid position requiring three days onsite per week, offering a collaborative environment where your analytical expertise and intellectual curiosity will directly influence franchise-level decisions. The ideal candidate thrives in ambiguous environments, can manage multiple priorities across diverse stakeholder groups, and communicates insights effectively to both technical and non-technical audiences. Job Responsibilities • Partner with the Consumer Products team and data engineering to transform consumer products data into clear reporting and actionable insights • Identify key learnings from analysis and synthesize them into strategic recommendations for stakeholders • Work collaboratively with fellow data scientists to incorporate beyond-the-game findings into major analyses and franchise reporting • Conduct data analysis for stakeholder groups across Partnerships, Marketing, and Consumer Products, including evaluating ROI of out-of-game initiatives and optimizing in-game metrics • Meet with stakeholders regularly to gather requirements, present findings, and support data-driven decision-making • Conduct analysis in Databricks, leveraging AI tools such as GitHub Copilot to enhance productivity and output quality • Maintain and develop dashboards that enable stakeholders to understand business performance and support onboarding to self-service tools • Maintain forecasting models and assist in franchise reporting and estimation as needed • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and analytical techniques • Deliver on ambiguous projects with incomplete or unstructured data in a self-directed manner Requirements • Minimum of 5 years of experience in data analytics • Minimum of 5 years of experience with SQL • Minimum of 2 years of experience with dashboarding tools, with PowerBI preferred • Experience supporting multiple stakeholders or projects simultaneously, demonstrating the ability to handle varied and shifting priorities • Experience in the gaming industry is a bonus • Bachelor's degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field preferred • Strong proficiency in SQL; experience with SparkSQL, Databricks, or Azure Data Explorer is a plus • Proficiency in Python; familiarity with PySpark is a plus • Experience with data visualization and dashboarding tools, with PowerBI strongly preferred • Experience leveraging AI-assisted development tools such as GitHub Copilot • Strong statistical analysis skills with the ability to connect out-of-game activities to in-game metrics • Excellent analytical and problem-solving skills with a high degree of autonomy • Excellent verbal, visual, and written communication skills with the ability to present to both technical and non-technical audiences • Ability to manage multiple projects and stakeholder relationships simultaneously, demonstrating flexibility and adaptability • Interest in gaming; experience in the gaming industry is a plus • Must be local to the Seattle area Additional Details • Location: Redmond, WA (Hybrid: 3 days onsite) • Duration: 12 months • Pay Range • : $71.50 - $81 per hour • Weekly Schedule: 40 hours • Job Status: Non-Exempt • Application Deadline: Apply within 72 hours of the posting date to ensure consideration. This Role Is Eligible For The Following Benefits • Medical, dental & vision • Hospital plans • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents) • Company paid short and long-term disability • Health & Dependent Care Spending Accounts (HSA & DCFSA) • Employee Assistance Program • Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave Benefits are subject to change and may be subject to specific elections, plan, or program terms. AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you require a reasonable accommodation related to the application or interview process due to a disability, please email accommodation@allegisglobalsolutions.com. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed. In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law. Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us. • We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.