US Foods Sr. Data Scientist - Supply Chain (Virtual/Remote) in Chicago, Illinois
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The Senior Data Scientist, is responsible for consistently providing high quality and insightful data driven solutions that address key business questions. This role supports Supply Chain operations and other members of the Insights and Analytics team as required to design and create datasets, reports, forecasts, and analytical tools by leveraging existing data sources. Will evaluate requests, determine data requirements, and identify innovative methods to provide effective data solutions that fulfill the needs of assigned business function. In addition, this role will also leverage their familiarity with cloud-based (AWS) technologies and capabilities to recommend optimal solutions.
This position is remote/virtual which means the work can be completed from anywhere in the United States EXCEPT Hawaii or United States Territories.
Analytics and Solution Developmen t
Identify opportunities for data science / machine learning solutions in a business area and deliver value at scale without guidance.
Be an expert in the domain of machine learning / data science and communicate chosen methodologies, analyses, and interpretation of model predictions to business stakeholders.
Independently take up data science projects and deliver the same to the satisfaction of the end users without any guidance.
Research through competing solutions to a problem, measure their pros and cons and decide on the optimal approach.
Identify and extract data needed, assess and remediate for data quality issues, perform feature engineering and undertake other data preparation activities.
Develop appropriate data science / machine learning models in close collaboration other team members and with product managers.
Track model performance over a period of time and adjust models to ensure ongoing predictive value.
Coordinates with technology partners to build and maintain systems necessary for the deployment of developed models and algorithms.
Guide and review the work of other team members without formal supervisory responsibility.
Tools and Development
Knowledge of software engineering best practices such as writing unit tests, using version control (e.g. Git), and writing technical documentation.
Experience working in an agile environment.
Experience building data pipelines for larger data sets and using cloud-based tools (i.e. Azure Databricks or Azure ML or AWS).
Lead development of tools and reports for end users, including developing requirements, reviewing user stories, evaluating IT development progress, managing User Acceptance Testing, and training end users
Collaborate with IT, consultants, and end users
Proactively validates results and identifies anomalies within the data. Conducts root cause analysis to understand cause of anomalies; identifies and implements solutions to overcome obstacles to data inaccuracy.
Applies a strong understanding of data tables (including validity of values) and methodology, coupled with an expert understanding of the assigned business function’s business need in order to provide quick, accurate, and relevant data solutions to functional requests.
Interprets algorithms into code for automated use
Strategy and Process
Identify and develop analytics to support and measure strategies for business partners.
Influence and evangelize analytical methodologies to support business partners’ needs.
Identify opportunities to standardize processes through analytics and tools
Support integration of strategies, analytics, processes, and tools.
Develop and refine core best practices to enhance the influence of Insights & Analytics across the organization.
Serve as SME on processes and tools.
Available for occasional travel as business requires (less than 5% of time)
No direct reports
Reports directly to Director of Data Science
Works closely with:
Assigned business function (e.g. Supply Chain organization in Rosemont, IL and Field; Supply Chain Business Analysis Team)
Data Science Team
Insights and Analytics Team
Mentors Analysts at the direction of Direct Supervisor
Senior management (SVPs, VPs, Directors)
IT (Business Analysts)
Education / Training
- REQUIRED: Bachelor’s degree in Information Technology, Computer Science, Mathematics, Engineering or comparable technology related field.
5+ years demonstrated successful experience in data science, data analysis, data solutions, or related business data analysis roles.
Preferred: Experience in food distribution, retail, CPG, or companies with warehousing and transportation needs.
Preferred: AWS Certifications.
Knowledge / Skills / Abilities
Python (numpy, pandas, sklearn, matplotlib/seaborn).
Linux/Shell command line.
Amazon Web Services (AWS).
Data Science Skills
Linear Statistical Models.
Business Strategy and Analytics
Excellent business acumen.
Excellent data manipulation and analysis skills.
Ability to think logically and analytically.
Able to take complex, ambiguous problems, break them down into smaller parts and problem solve to come up with a whole, integrated, and strategic solution.
Creative problem solver.
Exposure to statistical methodologies; well-versed in basic statistical approaches.
Self-direction and Team Work
High degree of motivation.
Ability to work independently and within a team.
Ability to build consensus and lead work streams.
Highly organized with the ability to multitask and prioritize workloads.
Excellent verbal and written communication skills
Strong presentation skills.
Ability to communicate complex concepts clearly.
Ability to influence change within complex organizations
Ability to relate to others.
Advanced knowledge of information visualization best practices and strategies.
The following information is provided in accordance with the Colorado Pay Equity Act. Compensation depends on experience, geographic locations, and other factors permitted by law. In Colorado, the expected compensation for this role is between $86,800.00 and $115,700.00. 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.
EOE* Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Protected Veteran/Disability Status*
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