Description

Are you a seasoned data science expert with a passion for solving complex supply chain challenges? Do you thrive in a fast-paced, innovative environment and want to work with Fortune 100 companies? If so, we’re looking for you!

Imagine a role where you’ll pioneer the use of AI and analytics to revolutionize supply chain operations. As a Principal Data Scientist, you’ll be at the forefront of developing bespoke solutions, optimizing replenishment strategies, and allocating resources across global supply chains. This is your chance to lead a team of talented data scientists, work with cutting-edge technologies, and make a significant impact on the retail and CPG industries.

Company Culture and Environment

The company fosters a collaborative and supportive team environment, encouraging individual responsibility and autonomy in a fast-growing, entrepreneurial setting.

Career Growth and Development Opportunities

You’ll have significant career development opportunities while working on challenging and impactful projects with Fortune 100 companies. This role offers a high degree of individual responsibility and the chance to be a leader in the fast-growing CPG and retail sector.

Detailed Benefits and Perks

• Competitive salary based on experience
• Opportunities for professional development and continuous learning
• Work with cutting-edge AI and analytics technologies
• High degree of individual responsibility and autonomy
• Collaborative and supportive team environment

Compensation and Benefits

This is a full-time position based in Houston, TX, with a substantial remote global workforce. Applicants must have 10+ years of relevant experience and an advanced degree in a related field. Proficiency in Python, Pyspark, and SQL is required.

Why you should apply for this position today

If you’re a passionate and experienced data scientist looking for a challenging and rewarding career, we encourage you to apply! This role offers the opportunity to lead the future of supply chain optimization while working in an innovative environment.

Skills

• 10+ years of experience as a Data Scientist, with a focus on supply chain optimization and inventory allocation
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field
• Experience with mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools
• Solid understanding of statistical methods, optimization techniques, and predictive modeling concepts
• Strong proficiency in Python, Pyspark, and SQL, and experience with data analysis and machine learning libraries
• Ability to apply various analytical models to business use cases
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions

Responsibilities

• Refactor optimization algorithms in Python using Object-Oriented Programming for improved efficiency and scalability
• Apply advanced statistical techniques and data science algorithms to analyze large datasets and generate actionable insights
• Develop and implement predictive models and optimization algorithms to enhance inventory management, reduce stockouts, and optimize resource allocation
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies
• Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement
• Stay up-to-date with industry trends and best practices in data science, replenishment optimization, and supply chain management
• Mentor, coach, and collaborate with a growing team of experienced Data Scientists

Qualifications

• 10+ years of experience as a Data Scientist
• Advanced degree (MS or PhD) in a relevant field
• Extensive experience and expertise in supply chain optimization and inventory allocation

Education Requirements

• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field

Education Requirements Credential Category

• Advanced Degree

Experience Requirements

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

Why work in Houston, TX

Houston is a vibrant city known for its diverse culture, thriving job market, and a range of recreational activities. The city offers a blend of urban life and access to nature, making it an attractive location for professionals seeking both career opportunities and a high quality of life.