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Lennox International Inc.

Data Scientist III

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$104,647 / year median in Texas

+26% projected growth

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Job Description

More Like This Salary Confidential Position range in Dallas County $63k - $131k Per Year Data Scientist III Lennox International Inc.
Occupation:
Data Scientists
Location:
Richardson, TX - 75080
Job Type:
Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift
Posted:
08/12/2026 Positions available: 1
Source:
WorkInTexas
Web Site:
WorkInTexas Onsite /
Remote:
Work onsite all of the time
Updated:
08/15/2026
Expires:
09/12/2026
Agency Job ID:
GANH-S Job #: 17054548 Job Requirements and Properties Help for Job Requirements and Properties. Work Onsite Full Time Education Master's Degree Experience 24 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Hours 40 Hours Per Week Shift Day Shift Benefits Help for . Data Scientist III needed byLennox International Inc. in Richardson
TX. DUTIES
Execute complex datascience initiatives across multiple business domains; develop advanced machinelearning models, design scalable analytics solutions, and generate deep insights from large and varied datasets. Develop deep expertise in business functions and translate needs into highvalue advisory solutions for stakeholders; identify highROI opportunities and refine datamanagement and analytics procedures, systems, workflows, and best practices to strengthen the machinelearning practice. Develop and deliver endtoend machinelearning projects; apply dataexploration techniques to surface novel questions; build custom models, algorithms, and analytical frameworks that improve decisionmaking, 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 crossfunctional 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 proofofconcepts to accelerate business success and sustained growth; present insights using clear, compelling datavisualization techniques. Demonstrate seniorlevel 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 crossfunctional communication and champion learning initiatives; cultivate positive working relationships across the organization.
REQUIREMENTS
Masters or foreign equivalent degree in Computer Science, Data Science, Business Analytics, Electrical and Computer Engineering, Mathematics, Information Systems, Management Science, Information TechnologyManagement, 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. Experience therein to include the following: 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 machinelearning algorithms including regression, treebased methods, clustering, or neural network models; 2 years translating business challenges into visual analyses using Qlik, Tableau, Power BI, or comparable reporting tools; and 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. To apply, send resume via email to ron.wieland@lennoxintl.com. Please refer to Job # GANH-S.