Data Scientist III

Lennox International • Richardson, TX

1d • $130,200 - $169,000 • Onsite

About The Position

This Notice is being provided as a result of the filing of an application for permanent alien labor certification for the position shown below. Any person may provide documentary evidence bearing on the application to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210, Telephone: [phone], Fax: [phone]. EMPLOYER: Lennox International Inc. JOB TITLE: Data Scientist III LOCATION: 2100 Lake Park Blvd, Richardson TX 75080.

Requirements

• Master’s or foreign equivalent degree in Computer Science, Data Science, Business Analytics, Electrical and Computer Engineering, Mathematics, Information Systems, Management Science, Information Technology Management, or a related field and 2 years of experience in the job offered, or as a Data Engineer, Data Analyst, or in a related/similar position.
• 2 years with Python, R, Scala, or SQL;
• 2 years with Database technologies including Build ETL/ELT pipelines, SQL scripting within data Warehouses, and Build analytical data models:
• 2 years applying machine-learning algorithms including regression, tree-based methods, clustering, or neural network models;
• 2 years translating business challenges into visual analyses using Qlik, Tableau, Power BI, or comparable reporting tools;
• Completion of a university-level course, research project, thesis, internship or one year of work experience involving the following: Business Analytics, Management Systems and Processes, Statistics and Machine Learning, and Advanced Analytics.

Responsibilities

• Execute complex data-science initiatives across multiple business domains; develop advanced machine-learning models, design scalable analytics solutions, and generate deep insights from large and varied datasets.
• Develop deep expertise in business functions and translate needs into high-value advisory solutions for stakeholders; identify high-ROI opportunities and refine data-management and analytics procedures, systems, workflows, and best practices to strengthen the machine-learning practice.
• Develop and deliver end-to-end machine-learning projects; apply data-exploration techniques to surface novel questions; build custom models, algorithms, and analytical frameworks that improve decision-making, operational efficiency, and ROI.
• Merge, manage, interrogate, and analyze large structured and unstructured datasets; become expert in sales, marketing, engineering, supply chain, and finance data; apply statistical techniques and modern ML methods to produce solutions to complex problems.
• Collaborate with cross-functional teams to implement models in production; develop tools to monitor model performance, drift, and data accuracy; foster pragmatic analytics combining advanced methods, new technologies, and deep business insight to drive decisions.
• Assess analytical tools, technologies, and external data sources; support proof-of-concepts to accelerate business success and sustained growth; present insights using clear, compelling data-visualization techniques.
• Demonstrate senior-level contribution through organization, coaching, and mentorship; share information openly, coordinate activities, and jointly solve problems; support team education on new processes and technologies; model effective cross-functional communication and champion learning initiatives; cultivate positive working relationships across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior