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ABOUT THE HIRING PROCESS:

The hiring process for this role involves completing your Braintrust profile, applying directly to the role on Braintrust, and undergoing a one-time screening to ensure you meet our vetted talent specifications. After this, the hiring team will contact you directly if they believe you are a suitable match.

Our process isn't for everyone, that's intentional. If you believe that you are a top candidate for this job, please join our network to give yourself the opportunity to work with top companies.

 

  • JOB TYPE: Freelance/ Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Hybrid - Peoria, IL
  • SALARY RANGE: $50 - $60 /hr
  • ESTIMATED DURATION: 40hr/week - Long term
  • EXPERIENCE: 3-5 years
  • BRAINTRUST JOB ID: 9761

THE OPPORTUNITY

 

Requirements

***MUST BE LOCATED IN THE PEORIA AREA AND ABLE TO GO TO THE OFFICE 3 DAYS A WEEK***

The Machine Data Insights team within Machine Analytics is seeking a talented and motivated Data Scientist to develop analyses that support product development analytics, aftermarket analytics, demand forecasting analytics, and other strategic analytics areas of focus. Our team’s mission is to understand our customers where their work gets done. Our analyses reveal machine usage insights that help our customers work safer and more productively and help our enterprise understand the market trends that shape our future business. This role will require a skillset in advanced statistical modeling and machine learning techniques as well as domain knowledge of industrial equipment.

JOB DUTIES:
The Data Scientist I will participate on cross-functional project teams in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer.

The key role of this second level data scientist position is to move from learning and assisting others to learning to contribute independently. The Data Scientist I is expected to become familiar with the company’s processes, products, and organization. Work is typically directed by a project or team lead who might review both methods and results. Challenges include meeting expectations in delivering results, learning to consider alternative courses of actions, making timely decisions, developing communication skills, working with people, and pushing the technical bounds of experimentation while meeting customer commitments.

Individuals in this position might expect to have several assignments allowing them to gain experience on multiple projects. They will be expected to apply theory and concept in contributing to the solution in the assigned area.

The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models.

The Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently. They also demonstrate very good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field; and has basic knowledge of Caterpillar Inc., and its products and services.

Basic Qualifications:
• Typically requires a Bachelor’s degree, preferably in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework, and 1-2 years of professional experience utilizing quantitative analysis is required, or a Master’s orPhD degree.
• Must be comfortable working in industry standard statistics, analytics, and data visualization packages.
• Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

Top Candidates Will Also Have:
• Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
• Experience with advanced 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.
• Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)
• Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
• 2+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges
• Experience with cloud technologies (AWS, Azure, Google Cloud, etc)
• Strong initiative to research and apply new methods and digital technologies to exceed customer expectations.
• Good communication, interpersonal, and collaboration skills0-2 years experience.

What you’ll be working on

Position’s Contributions to Work Group:

  • Primary work:  

    • Supporting the MPI (Machine Parts Intelligence) snowflake datalab productionalization
      [productionalization requires working with the IT group in order to take our SAS programs/output datasets and convert them into ‘IT owned production code/data tables’]

    • Working closely with IT group to interpret and validate that the converted code/output datasets in production match our current datasets

    • Required trainings to learn SAS, Snowflake, and SQL

    • Required trainings to learn about the MPI program

    • Candidate will be key contact from the IT group for questions on productionalization

  • Secondary/Future work:  
    • This individual could eventually be supporting analytics-based research projects, data visualization (i.e., Power BI), and/or ad hoc data analysis in aftermarket parts inventory management.  Potential to support Machine Learning based research projects.
  • Team has clearly defined purpose and goals to support our aftermarket inventory management business through research/simulations/analytics.  We create regular opportunities for open discussion and ideas.  We support personal development and professional growth.  There is a strong atmosphere of helping each other out and team mentorship is strong as well.

Team Mission:

  • To revolutionize the approach to inventory management by leveraging innovative technologies and strategies. We aim to drive profitable growth by maximizing parts availability, ensuring optimal inventory levels, and improving efficiency. We are committed to continuous learning, adapting to changes, and leading the industry in innovative inventory solutions through the use of data science.

Team Vision:

  • Generate and explore new ideas to improve inventory planning

  • Drive impactful results and decisions

  • Use latest analytics techniques to solve business problems

  • Attract the best talent and develop them into future Caterpillar leaders 

Typical task breakdown:

  • Candidate will need to work with our (research) team to learn SAS code/SQL/Snowflake and the MPI program  
  • Self-guided trainings will be required as needed.
  • Requires detailed discussions and note taking to develop understanding of our current processes and what is MPI, etc.
  • Regular meetings working together with MPI team in order to learn about program
  • Data validation will become an important regular task.
  • Eventually the candidate will become main contact between research team and the IT group to have MPI datalab productionalization moving forward to completion

Interaction with team:

  • Hold Regular meetings with our team members
  • Expected to coordinate setting up meetings with project team members pending on schedule and availability
  • Required to interact with team on trainings
  • Periodically will need to present updates to team and/or management on progress

Technical Skills
(Required)

  • Either Python or R or SQL, and/or related technical software
  • Microsoft Office Products  

(Desired)

  • Experience with SAS and/or Snowflake (cloud data)
  • Experience with Dataiku
  • Experience Power BI or Tableau
  • Utilizing machine learning models and/or deep learning (AI)
  • Enthusiasm for big data processing, research, analytics, and problem solving

Soft Skills
(Required)

  • Demonstrates teamwork, initiative, and interpersonal skills
  • Demonstrates the ability to communicate effectively verbally with PowerPoint
  • Demonstrates the ability to effectively communicate concepts using data visualization, if needed
  • Highly proficient written and verbal communication skills

(Desired)

  • Demonstrates attention to detail
  • Works well with others
  • Good communication skills

Education & Experience Required: 

  • Bachelor’s degree in an Industrial Engineering, Supply Chain Management, Data Science, Business Analytics, Mathematics, Statistics, Computer Science, Economics, Business, or Related Degree Program with quantitative and technically challenging coursework with 0-2 years’ relevant experience.

  • Minimum 2.8/4.0 Cumulative Grade Point Average (no rounding) at current institution.

  • Top Candidates: 

    • 1-2 years of experience in related field

    • Knowledge of basic statistical approaches and/or data management techniques

 

Notes:

Our employers all have varying legal and geographic requirements for their roles, they trust Braintrust to find them the talent that meet their unique specifications. For that reason, this role is not available to C2C candidates working with an agency. If you are a professional contractor who has created an LLC/corp around their consulting practice, this is well aligned with Braintrust and we’d welcome your application.

Braintrust values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

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