Data Scientist - Autonomy & Automation at Caterpillar Inc.

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Engineering, Autonomy, Automation, ManufacturingIndustries

Requirements

Strong analytical skills
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
A Bachelor’s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role
Five or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets
Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs
Comfortable working in a dynamic environment where digital is still evolving as a core offering
Ability to clearly and succinctly explain complex topics
Expert in Python; familiar with concurrency in Python
Proficient with git or similar source control system; and Experienced with git-based development workflows
Ability to design and consume well-tailored REST APIs
Experience working in development teams with code reviews and varying levels of seniority
Experience both in jumping into an existing architecture, and starting projects from scratch
Proven ability to take initiative and dive into areas of new technology
Self-motivated with a passion for learning, analyzing technology tradeoffs, and shipping product
Good applied statistics skills, such as distributions, statistical testing, regression, etc
Proficiency in using query languages such as SQL
Good scripting and programming skills
Data-oriented personality
Desired: Master’s Degree in Computer Science, Statistics, Applied Math or related field
Desired: Extensive background

Responsibilities

Data mining using state-of-the-art methods
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Use statistical research and analysis to understand which approach and algorithm to use
Creating automated anomaly detection systems and constant tracking of its performance
Selecting features, building and optimizing classifiers using machine learning techniques
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)
Provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
Analyse complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and performs analysis of technical and economic feasibility of proposed data solution
Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution
Exhibit advanced visualization skills, as well as creative problem-solving
Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing with Caterpillar
Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration

Skills

Data Mining

Machine Learning

Statistical Analysis

Predictive Modeling

Ensemble Modeling

Feature Engineering

Anomaly Detection

Data Processing

Data Cleansing

ML Pipeline

Python

SQL

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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