Position: Senior Data Scientist Duration: 7+ month contract Location: Glendale, CA (Hybrid) Compensation: $90-$105/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the US. The Merchandise Business Insight and Analytics team has responsibility for providing core retail merchandise, planning, analytics, and reporting systems to support the product lifecycle management and drive actionable insights for the Global Product Creation Group and a large community of business users across Category and Location Planning, Product Development, and operations functions for the Merchandise Businesses Globally. Role We are seeking a Sr. Data Scientist to lead dynamic pricing and optimization efforts for our store e-commerce channel. This role will focus on developing and enhancing advanced price optimization models to deliver dynamic price recommendations that drive incremental margin and improve business performance. The ideal candidate will have deep expertise in statistical modeling, machine learning, and retail pricing strategies. This position plays a critical role in shaping data-driven pricing decisions that support revenue growth and company success. Basic Qualification: • Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field. • Business Acumen (4-6+ years): Ability to translate complex analytical insights into actionable pricing strategies; proven track record of partnering with cross-functional teams such as Merchandising, Finance, and Marketing to drive revenue outcomes. • Retail Pricing Expertise (4-6+ years): Proven experience developing and optimizing pricing strategies in a retail environment, including elasticity modeling, promotional lift analysis, and competitive pricing insights. • Advanced Statistical Modeling (4-6+ years): Deep knowledge of predictive modeling techniques such as regression, time series forecasting (e.g., ARIMA, Prophet), causal inference, and machine learning methods (e.g., XGBoost, LightGBM) applied to pricing and demand estimation. • Experimental Design (5+ years): Proficiency in designing and analyzing pricing experiments, including A/B testing, geo-lift studies, and other causal frameworks to measure the impact of pricing changes. • Python Proficiency (5+ years): Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC. • SQL Expertise (5+ years): Strong command of SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines. • Data Storytelling (5+ years): Skilled in communicating data-driven recommendations to senior stakeholders through clear, concise storytelling and visualizations using tools like Power BI, Tableau, or matplotlib. Required Education: MS Computer Science, Operations Research Our benefits package includes: • Comprehensive medical benefits • Competitive pay • 401(k) retirement plan • ...and much more! About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities