Data Scientist at Sysco: Driving Innovation Through Analytics

Sysco, the global leader in foodservice distribution, is seeking a talented and driven Data Scientist to join our Enterprise Analytics and Insights Team. This role is based at our corporate headquarters in Houston, Texas, and offers a hybrid work environment, requiring an on-site presence three to four days per week. As a Data Scientist at Sysco, you will play a critical role in developing and implementing advanced analytics solutions to optimize various aspects of our business, including demand generation, assortment planning, costing, pricing, and supply chain management.

Role Overview

As a Data Scientist at Sysco, you will be responsible for the entire lifecycle of analytical projects, from data acquisition and cleansing to model development, implementation, and monitoring. You will work with large volumes of internal and external data, utilizing advanced statistical and machine learning techniques to extract valuable insights and drive data-driven decision-making. Your work will directly impact Sysco's bottom line by improving efficiency, reducing costs, and enhancing customer satisfaction.

A Day in the Life

Here's a glimpse into a typical day for a Data Scientist at Sysco:

• Morning: Begin by reviewing the performance of existing models and identifying areas for improvement. Collaborate with business stakeholders to understand their needs and challenges.
• Mid-day: Work on data acquisition, cleansing, and manipulation. Explore new data sources and develop ETL processes to integrate them into our data warehouse. Apply statistical techniques to identify patterns and anomalies in the data.
• Afternoon: Develop and test new models using machine learning algorithms. Evaluate model performance and fine-tune parameters to optimize accuracy and efficiency. Communicate findings to stakeholders and present recommendations.
• Late Afternoon: Collaborate with Business Technology resources on API, front-end, and downstream integration. Participate in team meetings to share knowledge and discuss project progress.

Why Houston, Texas?

Houston is a vibrant and diverse city with a thriving economy and a growing tech scene. It offers a low cost of living, excellent schools, and a wide range of cultural and recreational activities. Sysco's corporate headquarters are located in the heart of Houston, providing easy access to major transportation hubs and a talented workforce.

Career Path

At Sysco, we are committed to providing our employees with opportunities for growth and development. The Data Scientist role is a stepping stone to a variety of advanced positions within the Enterprise Analytics and Insights Team, such as:

• Senior Data Scientist: Lead complex analytical projects and mentor junior team members.
• Principal Data Scientist: Develop and implement cutting-edge analytical solutions and contribute to the strategic direction of the team.
• Data Science Manager: Manage a team of data scientists and oversee the execution of analytical projects.

Salary & Benefits

Sysco offers a competitive salary and benefits package, including:

• Competitive Salary: $110,000 - $160,000 per year
• Comprehensive healthcare plans (medical, dental, vision)
• Health savings account (HSA) with company contributions
• Flexible spending accounts (FSA) for healthcare and dependent care
• Generous paid time off (PTO) and holidays
• 401(k) retirement savings plan with company match
• Employee stock purchase plan (ESPP)
• Life insurance and accidental death & dismemberment (AD&D) insurance
• Short-term and long-term disability insurance
• Employee assistance program (EAP)
• Wellness programs and resources
• Tuition reimbursement and professional development opportunities

Sysco Culture

At Sysco, we are driven by a passion for excellence and a commitment to our customers. We foster a collaborative and inclusive work environment where employees are empowered to make a difference. We value integrity, teamwork, and innovation.

How to Apply

If you are a talented and passionate Data Scientist looking for a challenging and rewarding opportunity, we encourage you to apply online through the Sysco careers website. Please submit your resume and cover letter, highlighting your relevant experience and qualifications.

Frequently Asked Questions (FAQ)

1. What are the key responsibilities of a Data Scientist at Sysco?

   The key responsibilities include data acquisition and cleansing, model development and implementation, performance monitoring, and collaboration with business stakeholders.

2. What qualifications are required for this role?

   A Master’s degree or PhD or Bachelor’s degree + 3 years of industry experience in a relevant field is required. Proficiency in SQL, Python, and statistical modeling techniques is also essential.

3. What is the work environment like at Sysco?

   Sysco offers a hybrid work environment, requiring an on-site presence at our corporate headquarters in Houston, Texas, three to four days per week. We foster a collaborative and inclusive work environment.

4. What are the opportunities for career growth at Sysco?

   Sysco provides numerous opportunities for career growth within the Enterprise Analytics and Insights Team, such as Senior Data Scientist, Principal Data Scientist, and Data Science Manager.

5. What is the salary range for a Data Scientist at Sysco?

   The salary range for this position is $110,000 - $160,000 per year, depending on experience and qualifications.

6. What benefits does Sysco offer?

   Sysco offers a comprehensive benefits package, including healthcare, retirement savings, and paid time off.

7. What is the company culture like at Sysco?

   At Sysco, we are driven by a passion for excellence and a commitment to our customers. We value integrity, teamwork, and innovation.

8. How do I apply for this position?

   You can apply online through the Sysco careers website. Please submit your resume and cover letter, highlighting your relevant experience and qualifications.

9. What types of projects will I be working on as a Data Scientist?

   You will be working on a variety of projects related to demand generation, assortment planning, costing, pricing, and supply chain management.

10. What tools and technologies will I be using?

    You will be using a variety of tools and technologies, including SQL, Python, and various statistical modeling packages.