Description

Are you a seasoned data scientist with a passion for solving complex supply chain challenges? We’re looking for a visionary to join our team and pioneer the use of AI and analytics to optimize replenishment strategies and resource allocation for some of the world’s leading companies.

Imagine the impact you’ll have: you’ll be at the forefront of innovation, developing bespoke solutions that leverage data and technology to tackle real-world problems in the CPG and retail industries. Your work will directly impact the efficiency and effectiveness of global supply chains, helping organizations achieve unprecedented levels of performance.

Career Growth and Development Opportunities

• Enjoy significant career development in a fast-growing and entrepreneurial environment.
• Be part of a collaborative team and work on cutting-edge projects with a high degree of individual responsibility.

Compensation and Benefits

• Competitive salary based on experience.
• Health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Generous vacation and paid time off policy.
• Flexible working hours.
• Opportunities for professional development and continuous learning.

Why you should apply for this position today

This role offers a unique chance to contribute to solving some of the toughest challenges faced by global organizations. You will join a talented and supportive team of data scientists and work on impactful projects that utilize innovative technology and analytical methods.

Skills

• 10+ years of experience as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
• Strong proficiency in Python, Pyspark, and SQL.
• Optimization expertise using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools.
• Solid understanding of statistical methods, optimization techniques, and predictive modeling concepts.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.

Responsibilities

• Refactor and optimize algorithms written in Python to enhance performance and scalability.
• Solve critical business challenges in supply chain optimization and resource allocation.
• Utilize advanced statistical methods and data science algorithms to analyze large datasets and generate actionable insights.
• Design and implement predictive models and optimization algorithms to enhance inventory management.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Create and execute experiments to evaluate different replenishment strategies and allocation policies.
• Track and analyze key performance indicators (KPIs) for continuous improvement.
• Stay updated with industry trends and best practices in data science and supply chain management.
• Mentor and collaborate with a growing team of experienced data scientists.

Qualifications

• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
• Proven experience in applying analytical models to business use cases.

Education Requirements

• Master’s degree or PhD in a relevant field.

Education Requirements Credential Category

• Advanced degree in Computer Science, Operations Research, Applied Mathematics or related fields.

Experience Requirements

• 10+ years of experience in data science with a focus on supply chain optimization.

Why work in Houston, TX

Houston offers a vibrant and diverse culture, making it an attractive place to live and work. The city is known for its strong economy, particularly in technology and energy sectors, providing ample opportunities for professional growth. With a rich culinary scene, numerous parks, and a variety of cultural events, Houston supports both personal and professional development.