Senior Data Scientist

Career Area:

Business Technologies, Digital and Data

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.

Job Description:

Your Work Shapes the World
Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.
When you join Caterpillar, you are joining a team of makers, innovators, and doers. We are the people who roll up our sleeves and do the work to build a better world. We don’t just talk about progress and innovation. We make it happen. And we are proud of that, because it helps our customers build and power the world we live in – the roads, hospitals, homes, and infrastructure.  Without a dedicated workforce Caterpillar could not effectively meet our customer’s needs.  Join us.

Job Summary:
The Senior Data Scientist in Global Planning & Demand Management team is responsible for supporting the enterprise Sales & Operations planning (S&OP) community by developing and implementing advance analytics solutions to solve business problems. 

Job Responsibilities:
•    Work with business partners to understand informational needs, gather requirements and dive into data to create insights, ultimately driving sound business decisions.
•    Develop, implement, and maintain advance analytical and optimization techniques to solve business problems in the areas of inventory optimization, orders management, demand forecasting, sales, operations planning etc.
•    Develop tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis. 
•    Establish key performance tracking metrics for deployed models and solutions and monitor ongoing solution performance. 
•    Explore and implement semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
•    Conduct research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
•    Lead to define requirements and scope of data analyses; present and report possible business insights to management using data visualization technologies.

Skills:
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.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
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.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
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..
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Basic Qualifications
•    Bachelor’s degree plus at least 7 years of experience.
•    Experience and strong working knowledge with Snowflake cloud data warehouse, Snow SQL, Power BI or other industry standard coding and visualization tools (e.g., Python, R).
•    Solid foundation utilizing machine learning algorithms to develop predictive analytics solutions. 
•    Excellent visualization and presentation skills. 
•    Excellent verbal and written communication skills.

Top Candidates will also have
•    Supply chain analytics experience
•    Experience with cloud computing platforms such as AWS
•    Experience in databases such as Oracle
•    Self-start with ability to learn, adapt, improvise, and problem solve with poise in a rapidly changing environment.
•    Exhibit strong planning and organization, excellent initiative, the ability to delegate tasks effectively, and well-honed interpersonal and leadership skills.
•    Strong team player and ability to work in a collaborative environment.
•    Growth mindset - ability to learn and take initiative to keep up with the latest technology.

Posting Dates:

February 28, 2024 - March 5, 2024

Caterpillar is an Equal Opportunity Employer (EEO).

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