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The Sr Data Scientist executes statistical and mathematical analyses to support business decision-making. This role supports artificial intelligence/machine learning (AI/ML) in a deployed production environment. They are experts in the field of Data Science. Consequently, the Sr Data Scientist proactively works with cross-functional teams to seek and understand the business/domain @context of potential problems that may be solved using ML. They present data science solutions to stakeholders in an iterative fashion. The Sr. Data Scientist works with Associate Data Scientists and Data Scientists in converting a business problem into an ML problem and kickstarting foundational work including data exploration, feature engineering, basic hypothesis testing, and creation of baseline models. They create the model feasibility document in close collaboration with the Data Scientists and Sr Data Scientists. The Sr Data Scientist may have direct reports including Associate Data Scientists and Data Scientists.
This position is remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.
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.
SUPERVISION :
N/A
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
Certifications/Training
N/A
Licenses
N/A
PHYSICAL QUALIFICATIONS
Must be able to perform the following physical activities for described length of time
OCCASIONALLY: 1% - 33 / FREQUENTLY: 34% - 66% / CONTINUOUSLY: 67% - 100% or NEVER
JOB REQUIRES WORKER TO:
FREQUENCY:
STAND: OCCASIONALLY
WALK: OCCASIONALLY
DRIVE: NEVER
SIT: FREQUENTLY
LIFT
1-10 lbs (Sedentary): OCCASIONALLY
11-20 lbs (Light): OCCASIONALLY
21-50 lbs (Medium): NEVER
51-100 lbs (Heavy): NEVER
Over 100 lbs (Very Heavy): NEVER
CARRY
1-10 lbs (Sedentary): OCCASIONALLY
11-20 lbs (Light): OCCASIONALLY
21-50 lbs (Medium): NEVER
51-100 lbs (Heavy): NEVER
Over 100 lbs (Very Heavy): NEVER
PUSH/PULL 1: NEVER
CLIMB/BALANCE 2: NEVER
STOOP/SQUAT: NEVER
KNEEL: NEVER
BEND: NEVER
REACH ABOVE SHOULDER: NEVER
TWIST: OCCASIONALLY
GRASP OBJECTS 3: OCCASIONALLY
MANIPULATE OBJECTS 4: FREQUENTLY
MANUAL DEXTERITY 5: CONTINUOUSLY
1 (Push/Pull: Hand truck, gate, straps, metal ramp, truck door, dolly, boxes, truck gear shift)
2 (Climb/Balance: In/Out Truck/Trailer to cab. On/Off ramp to ground level and side doorsteps and Platform of trailer. Stairs)
3 (Grasp Objects: Hand truck, boxes, cartons, steering wheel)
4 (Manipulate Objects: Boxes, dolly, metal truck ramp, hand truck, paperwork, truck gate, straps)
5 (Manual Dexterity: Typing, use of office machines such as copiers, printers)
Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state minimum wage thresholds). The expected base rate for this role is between
$85,000 - $140,000
EOE?- Race/Color/Religion/Sex/Sexual?Orientation/Gender Identity/National Origin/ Age/Genetic Information /Protected Veteran/Disability Status
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US Foods is one of America's great food companies and a leading foodservice distributor, partnering with approximately 300,000 restaurants and foodservice operators to help their businesses succeed. With 28,000 employees and more than 70 locations, US Foods provides its customers with a broad and innovative food offering and a comprehensive suite of e-commerce, technology and business solutions. US Foods is headquartered in Rosemont, Ill., and generates more than $28 billion in annual revenue. Visit www.usfoods.com to learn more.
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US Foods, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis prohibited by applicable law.
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