Lead Data Scientist

Caterpillar Inc.•Nashville, TN

22h•Onsite

About The Position

The Cybersecurity GRC – Technology & Analytics team of Caterpillar IT is seeking a Lead Data Scientist to be a technical expert, working in a team environment, to support the development, integration & enhancement for Caterpillar in Advanced Analytics and GenAI initiatives for the Technology & Analytics team. Significant responsibilities of this position are working with people; enhancing the team’s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach for solving the problem at hand. This individual will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.

Requirements

Extensive experience with 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.
Extensive knowledge of principles, technologies and algorithms of machine learning.
Extensive knowledge in the application of Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Ability to conduct thorough data analysis and produce data mapping documents per the business requirements; extensive capabilities in SQL, data modeling, and understanding of data processing including ETL / ELT.
Working 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.
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively; Presenting technical work in small or large setting of Stakeholders and Leaders.

Nice To Haves

Master’s degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.
Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field.
Extensive 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.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc).
Extensive experience with Snowflake and SQL.
Advanced experience in DevOPs and ML-OPs.
Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time with help of team.
Experience with GenAI is plus.

Responsibilities

Participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs.
Providing input into technology roadmaps and application evolution plans.
Acting as a researcher and evaluator of new technology, information, or integration standards.
Solving the business problem presented through applied analytics and directing the team technically.
Conduct Data Discovery, data preparation and data processing for business intelligence and ML / AI Models.
Exploring, promoting, and implementing semantic data capabilities through data analytics and machine learning techniques.
Defining requirements and scope of data analyses.
Presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Planning technical deliverables and definition of done for each sprint for the Jr. Data Engineers.
Communicating and Presenting the Technical Deliverables to stakeholders and business in an easy-to-understand way.
Demonstrating a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems.
Developing, validating, training and implementing statistical models, and implementing digital solutions.
Participating on 3-4 projects/products concurrently.
Demonstrating strong initiative to research and apply new methods to exceed customer expectations.
Focusing on continual learning in the Analytics field.
Solving low to medium complexity problems.
Explaining conclusions to customers with limited knowledge and experience with quantitative analytical methods.