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Lead Data Scientist Job Opening In East Peoria – Now Hiring Caterpillar


Job description

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.

We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities.

We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Role Definition

As a Lead Data Scientist, you will act as a technical expert and mentor, working in a team environment with a group of data scientists and software developers to support the development, integration, and enhancement of Caterpillar's analytics, AI, and Generative AI projects and products.



Responsibilities:

· Leading projects, monitoring multiple projects, providing help, mentorship, and guidance.

· Developing ML/AI/GenAI models and solutions.

· Performing data gathering, data mining, and data processing on large volumes of data; creating appropriate data models.

· Demonstrating a breadth of knowledge in the application of ML/AI/GenAI and statistical methods and/or digital methods to solve business problems.

· Conducting research on data model optimization and algorithms to improve the effectiveness and accuracy of data analyses.

· Interacting and collaborating with team members and colleagues outside the organization, including outside of IT organization.

· Participating on 1-3 projects concurrently.

· Having a strong focus on continual learning in the Analytics field.

· Reporting and presenting team results.

Skills Descriptor:

· Analytical Thinking: Extensive knowledge of techniques and tools for effective analysis; ability to determine the root cause of problems and create alternative solutions that r3esolve these issues.

· GenAI / AI / Machine Learning: Extensive experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services.

· Statistics: Extensive knowledge of statistical tools, processes, and practices to describe results on measurable scales; ability to use statistical tools and processes to assist in making business decisions.

· Programming Languages: Extensive experience in applying Python (NumPy, SciPy, Pandas, etc.) to solve business challenges; ability to use tools, techniques, and platforms to write and modify programming languages.

· Information Processing: Extensive experience in processing large quantities of detailed information with high levels of accuracy.

· Databases: Extensive knowledge in writing, debugging, and implementing complex queries involving multiple tables or databases.

· Presentation Skills: Strong presentation and communication skills.


Top Candidates Will Also Have:

· Typically, a Bachelor's, Master’s, or Ph.D. degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework.

· Typically, 10-12 years of professional experience utilizing quantitative analysis, or a Master’s degree with 8+ years of experience, or Ph.D. with 4+ years of experience.

· Experience with data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.

· Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks.

· Technical and problem-solving skills with evidence of continuous learning in the analytics field.

· Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems.

· Experience with projects connecting data from various business domains and providing forecasts and insights to run the business profitably.

· Working knowledge of cloud technologies (AWS, Azure, Google Cloud, etc.).

· Working knowledge of version control/repositories such as GitHub.

· Experience operating in an Agile environment.

· Extensive experience in consulting and coaching others on sampling approaches and associated statistical significance.

· Initiative to research and apply new methods and digital technologies to exceed customer expectations.

· Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead Data in East Peoria, United States, highlighting market share and opportunities for professionals in Lead Data roles.

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271 Jobs in East Peoria
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Are You Looking for Lead Data Scientist Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Caterpillar adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Lead Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in East Peoria. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data Scientist?

Key qualifications for Lead Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Lead Data Scientist?

To improve your chances of getting hired for Lead Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Lead Data Scientist Job Success

Caterpillar interview tips for Lead Data Scientist

Here are some tips to help you prepare for and ace your Lead Data Scientist job interview:

Before the Interview:

Research: Learn about the Caterpillar's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Scientist interview at Caterpillar, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Caterpillar's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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