Senior Data Scientist, Supply Chain Network (Ref: 190337)

About Us

This organization stands out in the retail sector, particularly in convenience store operations, renowned for its expansive network of locations. With a strong dedication to delivering exceptional customer service, it combines advanced supply chain innovation with effective distribution strategies to guarantee optimal product accessibility. Focused on leveraging technology and fostering a culture of continuous improvement, this organization aims to enhance operational effectiveness and facilitate growth throughout its supply chain.

Job Description

We are collaborating with this organization in Dallas, Texas, to recruit a Senior Data Scientist specializing in Supply Chain Network optimization. This critical role involves employing advanced data science methodologies to refine supply chain processes, spanning from initial vendor interactions to final customer deliveries. The ideal candidate will delve into complex datasets, craft actionable algorithms, and contribute to innovative operational models in the supply chain arena. Strong communication skills and the ability to work collaboratively with various teams are essential to drive this organization's commitment to elevating service delivery standards.

Key Responsibilities

• Analyze and interpret supply chain data to gain insights into current operations.
• Identify emerging business opportunities through thorough data pattern analysis.
• Assist in the design and deployment of data models and algorithms utilized in operational environments.
• Assess the impacts of analytical solutions on interconnected projects, fostering effective, data-driven decisions.
• Keep abreast of cutting-edge advancements in analytics, offering strategic recommendations on algorithm selection tailored to business objectives.
• Translate complex technical challenges into straightforward, manageable solutions.
• Effectively communicate intricate machine learning strategies to leadership and other stakeholders.
• Engage in technology and analytics forums to expand knowledge and networks.
• Prioritize tasks to deliver high-quality solutions in a timely manner, adhering to industry standards and best practices.
• Demonstrate excellent written and oral communication skills.
• Utilize advanced skills in data manipulation and analysis software, such as Python and Spark, to drive actionable insights.
• Formulate strategies for ambiguous business challenges, collecting essential data, developing quantitative models, and providing timely recommendations.
• Design and conduct experiments to validate hypotheses and communicate results to stakeholders effectively.
• Collaborate with various teams, including Planning, Design, and Finance, to evaluate new business opportunities.
• Foster an inclusive and innovative team culture.
• Create impactful data visualizations to inform and influence stakeholder decisions.

Requirements

• A Master's degree or PhD in Industrial Engineering, Mathematics, Computer Science, Statistics, or related quantitative fields.
• 3-5 years of applicable experience in the supply chain domain.
• Expertise in network design and operations research is essential.
• Strong programming abilities in SQL, Python, Spark, and Shell scripting are required.
• Capability to work autonomously as well as collaboratively within a diverse team.
• Excellent interpersonal abilities and a proactive attitude are critical.
• A proven track record of innovation and strategic impact across multiple groups.
• At least 2 years of experience with big data and data science practices.
• Please note, sponsorship for work visas is not available at this time.

Benefits

• Competitive salary with potential performance-based incentives.
• Comprehensive health and wellness benefits.
• Generous vacation and paid time off policies.
• Opportunities for professional development and advancement.
• Flexible work arrangements to support work-life balance.

Other

This position presents an exceptional opportunity to make a significant impact on the supply chain operations of a leading convenience retail brand. The organization promotes a culture of innovation and encourages a commitment to continuous improvement, making it a compelling environment for a skilled data scientist to excel.