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The Senior Data Scientist (Specialist) executes statistical and mathematical analyses to support business decision making while supporting Merchandising and Revenue Growth. You will support artificial intelligence/machine learning (AI/ML) in the deployed production environment. The Senior Data Scientist (Specialist) determines analytics approaches to solve business problems, incorporating AI/ML algorithms where appropriate. In this role, you will transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. In addition, you will audit and review results of data analysis and reporting and provide consultation of key results to other departments (Merchandising and Revenue Growth).
This position is remote virtual which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.
RESPONSIBILITIES
As a Sr Data Scientist (Specialist) for Merchandising and Revenue Growth, you will be expected to:
- Data Preparation: Employ scaling & automation to data preparation techniques
- Standards and Best Practices: Contribute to the data science archive of features and products for cross-functional consumption.
- Collaboration: Partner with more senior team members for completion of ad-hoc analyses, joint coding and reviews, and data storytelling preparation.
- Model Development, Execution & Maintenance: Develop and deploy artificial intelligence/machine learning models using Python and open-source libraries and work with machine learning operations to create an API for business consumption of the model.
- Storytelling & Consultation: Develop innovative ideas regarding potential use of new data to unlock potential business solutions and present visualizations to articulate key results and opportunities for various departments.
- Coaching and mentoring: Provide coaching and mentoring to data science team members.
- Perform other duties as assigned by your manager.
RELATIONSHIPS
- Internal: Frontline managers & senior leaders within Insights & Analytics as well as in other orgs requesting data (e.g. Supply Chain, Sales).
- External: N/A
MINIMUM QUALIFICATIONS
- As a Sr Data Scientist (Specialist), you have professional experience within Merchandising and Revenue Growth.
- A Master’s degree in statistics, mathematics, data science, operations research, applied analytics, computer science, information systems, or other quantitative field plus four years industry experience in data science OR A Bachelor’s degree in statistics, mathematics, data science, operations research, applied analytics, computer science, information systems, or other quantitative field plus six years industry experience in data science.
- Proven ability to collaborate and willingness to work with other team members in pursuit of best approaches and continuous improvement.
- Effective oral and written communication skills; ability to adapt your communication style to technical and non-technical audience.
- Ability to balance multiple priorities and meet deadlines with minimal supervision.
- Advanced skills and experience with Microsoft Office.
- Advanced proficiency in statistical modeling and supervised / unsupervised machine learning approaches including optimization, regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, and association rules.
- Advanced proficiency across data ETL utilizing SQL and Python; experience scaling and automating data preparation techniques.
- Advanced proficiency across analytics and data science programming languages and platforms including Python, R, and MATLAB; broader exposure to programming experience in Java, C++, and HTML.
- Experience developing APIs to support business consumption of models
- Intermediate experience on cloud platforms utilizing Azure, AWS, or GCP.
The following information is provided in accordance with certain state and local laws. Compensation depends on experience, geographic locations, and other factors permitted by law. In California, the expected compensation for this role is between $91,100.00 and $143,300.00. In Connecticut, the expected compensation for this role is between $102,100.00 and $143,300.00. In Colorado, the expected compensation for this role is between $95,500.00 and $128,700.00. In Maryland, the expected compensation for this role is between $95,500.00 and $128,700.00. In Minnesota, the expected compensation for this role is between $91,100.00 and $121,500.00. In New York, the expected compensation for this role is between $91,100.00 and $143,300.00. In Rhode Island, the expected compensation for this role is between $95,500.00 and $128,700.00. In Washington, the expected compensation for this role is between $102,100.00 and $136,200.00.
This role is also eligible for Benefits for this role include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html.
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