Sr. Data Scientist (Remote/Virtual)
at US FOODS INC
Des Plaines, IL 60018, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 21 Aug, 2024 | USD 140500 Annual | 22 May, 2024 | 6 year(s) or above | Association Rules,Aws,Retirement Benefits,Computer Science,Platforms,Data Science,Forecasting,R,Machine Learning,Life Insurance,Communication Skills,Microsoft Office,Analytics,Models,Information Systems,Statistical Modeling,Continuous Improvement | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
MINIMUM QUALIFICATIONS
As a Sr Data Scientist (Specialist), you have:
- 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
Certifications/Training
- N/A
Licenses
- N/A
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 Colorado, the expected compensation for this role is between $94,600.00 and $143,200.00. In New York, the expected compensation for this role is between $100,500.00 to $140,500.00. In California and Washington, the expected compensation for this role is between $100,100.00 and $133,500.00. This role is also eligible for an annual incentive plan bonus. 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
How To Apply:
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Responsibilities:
As a Sr Data Scientist (Specialist), 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
REQUIREMENT SUMMARY
Min:6.0Max:11.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Data science
Proficient
1
Des Plaines, IL 60018, USA