Principal Data Scientist

3 weeks ago

Sunnyvale CA, United States Insight Global Full time

JOB DESCRIPTION The number one retailer is looking for a Principal Data Scientist. As a Principal Data Scientist you will lead the development and deployment of advanced analytical models that drive strategic business decisions. This role requires expertise in machine learning, statistical analysis, and coding to design scalable solutions addressing complex business challenges. The position involves collaborating across functions to translate data insights into actionable strategies, mentoring team members, and ensuring high-quality data sourcing and validation. The ideal candidate will apply innovative techniques to enhance data-driven decision-making and contribute to Walmart's continued growth and operational excellence. Key Responsibilities: Develop and implement advanced machine learning models to address complex business challenges and drive data-informed decisions. Lead exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from data sources. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with strategic objectives. Oversee model validation, tuning, deployment, and lifecycle management to ensure accuracy, robustness, and sustainability. Mentor and guide team members on analytical techniques, coding best practices, and data visualization to enhance overall team capability. Communicate findings effectively to stakeholders, supporting data-driven decision-making and continuous improvement initiatives. REQUIRED SKILLS AND EXPERIENCE Extensive experience in developing and deploying machine learning models using Python and related frameworks. Proficiency in advanced statistical analysis and data visualization techniques to derive actionable business insights. Strong knowledge of data sourcing, quality assessment, and management within complex business environments. Expertise in model validation, tuning, and lifecycle management to ensure robust and scalable solutions. Ability to translate business requirements into technical strategies and lead cross-functional teams effectively. Familiarity with cloud platforms such as AWS SageMaker for scalable model development and deployment. Demonstrated leadership in mentoring associates and driving continuous improvement in data science practices. *Alternate Location: Bentonville, AR (Compensation may vary based on location preference)

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