Top 9 Us foods Jobs in Remote

Sr. Data Scientist Specialist (Remote)
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Sr. Data Scientist Specialist (Remote)

US Foods, Inc. -
Rosemont, IL

Apply Now

Job Details

Full-time

Benefits

Employee stock purchase plan
Disability insurance
Health insurance
Paid time off
Life insurance
Retirement plan

Qualifications

AI models
Containerization systems
Cluster Analysis
Data lake
Predictive modeling analysis
Continuous deployment
Team leadership
Ensemble learning
Writing skills
DevOps
Data structures
Generative models
Agile scheduling
Clustering algorithms
Computational framework
Programming languages
Machine intelligence
Model deployment
Cloud development
Version control systems
Improving predictive model accuracy
Natural language processing
Scrum
APIs
Model training
Neural networks
Clustering
Unsupervised learning
AI
Cross-validation

Full Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES

As a Sr Data Scientist, you will be expected to:

Work with Associate Data Scientists and Data Scientists in researching data sources, data cleansing, feature engineering, and creating baseline models
Independently manage multiple data science model development/projects
Collaborate and engage with various cross-functional stakeholders to ensure close coordination between data science and business stakeholders including the product management team
Provide full ownership of the model development from inception to implementation including the machine learning pipeline, documentation, model drift, and remodeling strategy
Mentor the Associate Data Scientists and Data Scientists in data science knowledge and their interactions with other stakeholders
Coordinate with the ML team, anticipating deployment issues upfront, setting the stage for resource requirements, and ensuring the success of model deployment and retraining
Take and delegate ownership of critical tickets or issues faced by business stakeholders as assigned by the Lead Data Scientist or Director of Data Science
Read and independently navigate through extensive codebase with a focus on troubleshooting, debugging, and/or improvement of code
Contribute to coding standards and coding conventions and proactively participate in enforcing sound coding practices across the data science team
Create and maintain documentation of the ML models, data sources, and methodology
Assist in the creation of feasibility documents
Proactively participate in the core team processes including R&D, recommending, and implementing process improvements or new methodologies
Share knowledge with other various teams and members by presentation at periodic internal team sessions/workshops
Guide usage of development methodologies (Scrum, Kanban, etc.) and assist in their implementation in the group projects by deciphering details including features, tasks, estimates of efforts and timing, etc.

RELATIONSHIPS

Internal: Associate Data Scientists, Data Scientists, Lead Data Scientists, Principal Data Scientists, and Director of DS.

WORK ENVIRONMENT

Remote

MINIMUM QUALIFICATIONS

As a Sr. Data Scientist, you have:

Master’s degree in data science/mathematics/CS/statistics or similar field and 3+ years of experience OR Bachelor's degree and 6+ years of experience in data science
Effective written, verbal, and interpersonal communication skills, with the ability to work and communicate effectively with team members and cross-functional teams
An expert-level understanding of the following topics:
- Classification, Regression, Clustering, Dimensionality reduction, Association rule learning, Bagging (e.g., Random Forests), Boosting (e.g., AdaBoost, Gradient Boosting), Neural Networks and Deep Learning, Model Evaluation and Metrics, Cross-validation, Hyperparameter Tuning, Optimization Algorithms, NLP and more

Working knowledge of Agile/SCRUM methodologies with 1-2 years of experience and a practical understanding of the epics, features, and tasks that may be most relevant and how much effort is required for them
Sufficient intellectual curiosity to investigate the latest developments in the field (for example LLM/Generative AI models)
Ability to see the big picture and anticipate issues in terms of deployment limitations, data latency, appropriateness of a particular implementation of algorithms, and mathematical details/assumptions
At least 1+ years of working with a major cloud platform, creating ML models using frameworks from data exploration to deployment
Working knowledge in handling large datasets in a cloud environment
Working knowledge of how APIs work, CI/CD (Continuous Integration/Continuous Deployment)
Understanding of DevOps and MLOps principles
1+ years of writing production-grade code in scripting languages including Bash, Python, and SQL with the ability to identify the areas of improvement, optimal choice of data structures, optimization of the code, and creating custom code to address unique situations
Proven, independent ability to navigate a data lake environment while creating training datasets or feature stores
Effective skills in creating, deploying, and troubleshooting containers in the context of ML modeling
1+ years of experience with version control systems/concepts, such as Git, for tracking changes in machine learning projects
Ability to investigate/research ML frameworks/algorithms, datasets, feature stores, and contribute to solving data science problems
Capability of providing macro-level thought leadership to the junior members including the Data Scientists regarding best practices, issues, causes, and respective resolutions of those issues

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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us foods jobs in remote

Sr. Data Scientist Specialist (Remote)

Region Dir, National Sales GPO

Director, Business Development – Hospitality (Central) (Remote)

Sales Account Manager 3rd Party Logistics- Southeast US

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