Senior Data Scientist
AngiSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Manufacturing, DigitalIndustries
Requirements
- Deep expertise in machine learning and deep learning techniques — designs composable model services (ensembles, retrieval augmented generation, multimodal orchestration), establishes rigorous evaluation methods
- Demonstrated experience in leveraging classical optimization (branch & bound, heuristics, integer programming) techniques
- Advanced Python knowledge to handle high-performance analytical workloads, simulation and deployment
- Deep knowledge of manufacturing process analytics: multivariate analysis, defect analytics
- Team/project leadership with publications or patents in industrial ML or optimization
- Experience in building analytics on top of OpenUSD-powered asset graphs
Responsibilities
- Coach and mentor Junior Data Scientists in the creation, validation, and application of statistical, machine learning and LLM models as well as in implementing AI solutions
- Enhance team’s creativity to solve business problems using machine learning techniques
- Evaluate and implement modern optimization algorithms: stochastic search, evolutionary/genetic, reinforcement, and multi-objective optimization
- Lead expert-level validation of AI/ML models using industrial analytics metrics such as yield improvement, downtime reduction, and prediction accuracy
- Establish standards for data/model lifecycle management, production monitoring, and feedback from physical operations
Skills
Data Science
AI
Machine Learning
IoT
Advanced Analytics
NVIDIA Omniverse
Digital Twins
System Integration
Manufacturing
Supply Chain
Simulation
Automation
Caterpillar Inc.
Manufactures heavy machinery for various industries
About Caterpillar Inc.
Caterpillar Inc. designs and manufactures heavy machinery and equipment for industries such as construction, mining, energy, and rail. Their products include a wide range of machinery and engines that help clients complete large-scale projects. Caterpillar's equipment works by providing powerful tools that can perform tasks like digging, lifting, and transporting materials. What sets Caterpillar apart from its competitors is its strong aftermarket support, which includes maintenance and repair services, ensuring that their machinery remains efficient and reliable over time. The company's goal is to deliver high-quality products while also focusing on sustainability and community development through initiatives that improve education and reduce poverty.
Irving, TexasHeadquarters
1925Year Founded
$143.5KTotal Funding
IPOCompany Stage
Industrial & Manufacturing, Social Impact, AI & Machine LearningIndustries
10,001+Employees
Benefits
Annual incentive bonus plan
Medical, dental, and vision coverage
Paid time off plan (Vacation, Holiday, Volunteer, Etc.)
401k savings plan
Health savings account (HSA)
Flexible spending accounts (FSAs)
Disability benefits
Life Insurance
Parental leave
Healthy Lifestyle Programs
Employee Assistance Programs
Voluntary Benefits and Employee Discounts
Tuition Reimbursement
Career Development
Risks
Closure of Aurora office may impact regional economy and Caterpillar's reputation.
Partnership with Anti Social Social Club could dilute Caterpillar's industrial brand focus.
Advanced technology in Cat D8 dozer may face resistance from traditional customers.
Differentiation
Caterpillar's century-long history underscores its reliability and industry leadership.
The company integrates AI and IoT to enhance machinery performance and customer satisfaction.
Caterpillar's strong aftermarket services ensure product longevity and operational efficiency.
Upsides
Growing demand for autonomous equipment boosts Caterpillar's innovation in heavy machinery.
Expansion of 5G networks enhances Caterpillar's remote operation capabilities, improving safety.
Caterpillar's commitment to sustainability aligns with the global shift towards eco-friendly practices.
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