Junior Data Scientist, Global Sourcing

Company Description

The Wonderful Company is committed to offering high-quality, healthy, and iconic brands such as Wonderful Pistachios, Wonderful Halos, FIJI Water, and POM Wonderful. We’re looking to make the world a healthier place through an uncompromising commitment to the well-being of our employees and their families. We foster a collaborative workforce that encourages an entrepreneurial spirit and openness to change.

Our Global Sourcing Analytics team is expanding with a new Junior Data Scientist position! Collaborating closely with our Senior Data Scientist, this role will be vital in our team’s efforts to identify project opportunities, operationalize & continuously improve our analytical processes, and increase the collective impact of Wonderful’s procurement teams. 

This role is a great opportunity for someone: 

• With foundational experience in data science and eager to learn by doing, working alongside the Senior Data Scientist and Analytics team 
• Passionate about the full scope and lifecycle of real-world, operationalized data science work (not just EDA and modeling) 
• Eager to work on the “big picture” by helping define strategic priorities, identify problems / enhancements, and craft processes 
• Comfortable navigating ambiguity while working on impactful projects from design to planning to execution 

To succeed, you will need robust analytical capabilities, strong problem-solving skills, excellent communication skills, and a collaborative mindset. To thrive, you must be creative and curious, with an unwavering appetite to learn, improve, and make an impact.  

We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday. Our office is located at 11444 W. Olympic Blvd., Los Angeles, CA 90064.

Job Description

• Analyze spend data to identify trends and opportunities across all The Wonderful Company's business units 
• Plan and execute analytical projects while managing multiple ongoing and ad hoc initiatives 
• Lead data-related problem-solving efforts and prioritize / drive efforts to clean, validate, and prepare data for analysis and modeling 
• Identify opportunities for improvement and support continuous refinement of our machine learning classification workflow 
• Design, build, and maintain dashboards and reports to support ongoing opportunity identification and spend category management 
• Develop and implement KPIs and other metrics for monitoring supplier performance, identifying project opportunities, and ensuring contract compliance 
• Collaborate with cross-functional teams, fostering communication and building strong relationships 
• Develop a strong understanding of available data sources and how to manipulate and integrate them to generate valuable insights 
• Identify opportunities to improve underlying data quality in collaboration with IT and business unit teams 
• Synthesize findings and share compelling opportunities with business unit teams 
• Become familiar with capabilities and best practices for Oracle Cloud Infrastructure, including Oracle Data Science and Oracle Autonomous Data Warehouse 

Qualifications

• BA/BS in an analytical field (e.g., Statistics, Data Science, Mathematics, Economics) 
• Minimum 1-2 years of experience in data science role (preferred) or other analytical business function 
  • Experience within the food and beverage or consumer-packaged goods industry a plus 
• Comfort using Python or R languages to work on data science tasks on large datasets 
• Experience with text analysis, textual data, and/or language models a plus 
• Basic knowledge of data visualization tools (e.g., Power BI, Tableau) 
• Strong organizational skills and exceptional attention to detail 
• Ability to manage multiple projects and competing priorities 
• Well-developed critical thinking abilities 
• Comfort navigating uncertainty and solving problems by identifying creative solutions and acquiring new skills 
• Desire to learn about the company and build relationships across the enterprise 
• Familiarity with DAX, Power Query, and/or SQL a plus 
• Proficiency with Microsoft Office (especially Excel and PowerPoint) 

Pay Range: $70,000 -  $77,000 and may include a discretionary bonus. Final compensation will be dependent upon skills & experience.

Additional Information

• Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including: 
  • 24/7 online physician consultations 
  • virtual mental health resources 
  • life coaching 
  • engaging employee community