Description

Are you a seasoned data science leader with a passion for optimizing complex supply chains and driving impactful results? Join our dynamic team and be at the forefront of innovation in AI and analytics! We’re seeking a talented Principal Data Scientist to lead our optimization efforts in the CPG and retail sectors. If you’re excited to tackle challenging problems, leverage cutting-edge techniques, and make a real difference for Fortune 100 companies, we want to hear from you!

Company Culture and Environment

We foster a collaborative and supportive team environment that encourages innovation and teamwork. Our atmosphere is entrepreneurial, providing the freedom to explore and implement impactful solutions.

Career Growth and Development Opportunities

This position offers significant career development opportunities, allowing you to lead and innovate in a fast-growing field while working on projects that have a real impact.

Detailed Benefits and Perks

• Excellent opportunities for significant career development
• A challenging and rewarding entrepreneurial environment
• A high degree of individual responsibility

Compensation and Benefits

Our compensation package includes competitive salary and benefits, tailored to attract and retain top talent.

Why you should apply for this position today

This is your chance to lead innovative projects that influence major companies. With a focus on cutting-edge technologies and a supportive team, you will have the opportunity to make a significant impact in the industry.

Skills

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

Responsibilities

• Pioneer optimization algorithms using Python and Object-Oriented Programming
• Solve real-world problems in supply chain optimization within retail and CPG industries
• Unlock actionable insights for replenishment optimization and inventory allocation
• Develop predictive models and optimization algorithms for better inventory management
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions
• Design and execute experiments to evaluate replenishment strategies
• Monitor and analyze KPIs related to replenishment and supply chain allocation
• Drive innovation by staying up-to-date with industry trends
• Mentor and grow the team of Data Scientists

Qualifications

• 10+ years of experience in the field
• MS or PhD in a relevant discipline
• Proven 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 in relevant field

Experience Requirements

• 10+ years of experience as a Data Scientist, particularly in supply chain optimization

Why work in Houston, TX

Houston is a vibrant city known for its diversity, strong economy, and rich cultural scene. It offers a dynamic living environment with numerous opportunities for professional growth and networking, making it an ideal location for ambitious professionals.