Senior Machine Learning Scientist
QlooSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Digital, Heavy Machinery, ManufacturingIndustries
Requirements
- Solid knowledge in applying Python (NumPy, SciPy, Pandas, etc.) programming to solve business challenges
- Working knowledge and experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks
- Experience with AWS services, Cloud ELT/ETL, Snowflake, SQL
- Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as new concepts such as data fabrics, data mesh, and data lake house
- Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts
- Experience utilizing quantitative analysis/data management (data design, data quality, metadata, governance, etc.)
- Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar)
- Ability to clearly communicate complex technical ideas, regardless of the technical audience
Responsibilities
- Perform analytical tasks and initiatives on huge amounts of data to support data-driven business decisions and development
- Cultivate a data-driven product development culture, utilizing insights to optimize digital investments
- Drive the expansion of revenue and customer base by enhancing dealer business operations and elevating product utilization through enhanced customer engagements
- Direct data gathering, data mining, and data processing in large volumes; create appropriate data models
- Explore, promote, and implement semantic data capabilities through Natural Language Processing, text analysis, and machine learning techniques
- Lead the definition of requirements and scope of data analyses; present and report possible business insights to management using data visualization technologies
- Evaluate and conduct research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses
- Work directly with Slovakia-based engineering leadership and Cat Digital IT in the US
Skills
Data Analysis
Advanced Analytics
AI
Telematics
Big Data
Machine Learning
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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