Data Scientist

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.

A Data Scientist is responsible for supporting freight analytics/forecasting for process partners by leveraging suitable software. This position is in Bangalore and reports to the Analytics Manager responsible for this area. A person in this role is expected to support 1-2 projects at a time and guide the other team members in work related queries.

JOB DUTIES:

The job duties of a Data Scientist are to support/lead projects in the domain of freight analytics. To be successful, he/she must utilize technical skills as well as soft skills.

The domain and technical skills are defined in 4 key skills: Domain (logistics/freight/supply chain) knowledge, technical (SAS, SQL, MS Office suite) knowledge, data purification (ETL) & analysis and building insights for customer review. It would be added advantage to have working knowledge of visualization tools like Tableau and/or Power BI.

This role also will support technology solutions for the analytics team and meeting the needs of the organization. In this role one is expected to identify and drive continuous improvement within the department.

In addition to technical skills, a Data Scientist needs to demonstrate intermediate to fully skilled levels of the following values-based competencies (VBCs): integrity & trust; building inclusive relationships; customer focus; problem solving; priority setting; and dealing with uncertainty.

Although the requirements above describe most of the responsibilities of the Data Scientist, due to the breadth of issues that arise on projects, it is sometimes expected that he/she takes on other responsibilities outside of this job description.

Background/Experience (Required):

Bachelor’s degree in engineering, supply chain management, logistics or a related field.

Require 3 - 6 years of relevant experience in either of the following fields - supply chain planning, transportation/inventory optimization & simulation.

Good knowledge on SAS with one or more successful projects completed by the individual.

Must be comfortable working in MS Office, and industry standard statistics and data visualization packages.

Excellent communication and presentation skills.

Good analytical thinker, experience in data analysis and project management, ability to work well in team settings, with attention to detail.

Background/Experience (Desired):

Bachelor or Master degree in Operations Research, college degree in supply chain, logistics, or industrial engineering (operation research).

Proficient in Microsoft Office (Excel, Access, PowerPoint, Word)

Experience in O365 tools.

Experience with visualization tools like Tableau or Power BI

Skill Descriptors

Programming Languages: Knowledge of basic concepts and capabilities of SQL/SAS/Python programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Basic Understanding:
• Describes the basic concepts of programming and program construction activities.
• Uses programming documentation including program specifications in order to maintain standards.
• Describes the capabilities of major programming languages.
• Identifies locally relevant programming tools.

Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Basic Understanding:
• Identifies query facilities that are available in one's own environment.
• Explains organization's standards, procedures and practices for building queries.
• Describes the functions and features of query and database access tools.
• Identifies the key benefits and drawbacks of query languages.

Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Basic Understanding:
• Identifies and describes basic statistical measures.
• Summarizes the underlying uncertainties associated with statistical analysis and reporting.

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Working Knowledge:
• Accurately gauges the impact and cost of errors, omissions, and oversights.
• Utilizes specific approaches and tools for checking and cross-checking outputs.
• Processes limited amounts of detailed information with good accuracy.
• Learns from mistakes and applies lessons learned.
• Develops and uses checklists to ensure that information goes out error-free.

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Basic Understanding:
• Names specific tools or techniques that can be used to support the analytical thinking process.
• Describes specific software applications or products used for business analytics.
• Gives examples of how analytical thinking has been used to resolve problems.

Posting Dates:

Caterpillar is an Equal Opportunity Employer (EEO).