Sr Data Scientist, Commercial Finance

About Us

Americold is a global provider of temperature-controlled infrastructure. We partner with farmers and food producers to ensure their perishable and frozen product reaches foods suppliers, restaurants, and your local grocery store without spoilage. Our customers, which include some of the most respected brands in the food industry, rely on our expertise and commitment to safety in order to deliver on their commitments.

What you’ll Do

Primary Responsibilities: 

• Advanced Analytics: Develop and implement advanced analytics and data visualization to support commercial finance and other initiatives. Utilize statistical analysis and data mining techniques to extract insights and drive decision-making. 
• Data Visualization: Develop and maintain data visualizations to effectively communicate complex data insights. Use tools like Tableau, Power BI, or similar to create interactive and user-friendly dashboards. 
• Collaboration: Work closely with finance, operations, business development, and IT teams to understand business needs and translate them into data-driven solutions. Communicate findings and recommendations. 
• Predictive Modeling: Create predictive models to forecast financial outcomes and identify trends. Use these models to inform strategic planning and business decisions. 
• Project Leadership: Lead data related projects from conception to deployment. Manage project timelines, resources, and deliverables to ensure successful completion.

Essential Functions:

• Data Integration: collaborate in joint efforts to ensure the integration of data from various sources, including Oracle, Salesforce, and other systems, to maintain a unified data environment for analysis. 
• Data Management: Oversee the collection, storage, and maintenance of large datasets. Ensure data integrity and accuracy through regular audits and validations. Work with data engineers to ensure data quality. 
• Process Improvement: Identify opportunities for process improvements and automation within the commercial finance department. Implement best practices for data analysis and management. 
• Reporting: Develop and maintain dashboards and reports to track key performance indicators (KPIs). Present complex data in a clear and concise manner to stakeholders. 
• Technical Expertise: Stay updated with the latest advancements in data science and analytics. Apply new techniques and tools to enhance the efficiency and effectiveness of data analysis

What Experience and Education You Need

• Bachelor’s degree in data science, Statistics, Computer Science, Systems and Industrial Engineering, Finance, or a related field. A master’s degree is preferred. 
• 2 to 6 years of experience in data science, analytics, or a related field. 
• Programming and Scripting: Strong expertise in Python (Pandas, NumPy, Matplotlib, etc.) and SQL (complex queries, optimization). 
• Data Management: Expertise in building and maintaining large-scale data pipelines using ETL/ELT processes.
• Cloud Hands-on experience: cloud platforms like AWS (Redshift, S3), Azure (Data Factory, Synapse), or Google Cloud (BigQuery). 
• Statistical Methods: Strong understanding of statistical methods, predictive analytics, and hypothesis testing. Experience with machine learning frameworks is a plus. 
• Visualization and Reporting: Proficiency in tools like Power BI, Tableau, or similar. Certifications are a plus. Proficiency in Excel (advanced formulas, Power Query, VBA) is a strong plus. 

What Could Set You Apart

• Advanced skills in translating technical findings into actionable insights for non-technical stakeholders. 
• Experience in cross-functional collaboration and project management. 
• High level of accuracy and attention to detail in all aspects of work. 
• Commitment to staying updated with the latest advancements in data science and analytics.
• Willingness to learn and apply new techniques and tools. 
• Foster a culture of continuous learning and improvement within the team.

Physical Requirements 

• Requires the ability to sit for long periods of time, with frequent interruptions
• Requires several hours per day of sitting, getting up and down from chairs, and reaching, or bending
• Requires manual dexterity with normal hand and finger movements for typical office work
• Talking, hearing, and seeing are important element