Data Scientist II

Who We Are

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.

What Drives Success

Location: Richardson, TX (This position is 100% onsite at our headquarters in Richardson, TX, requiring attendance in-office 5 days a week, Monday-Friday.)

 

We are seeking a motivated and analytical Data Scientist to develop machine learning models and advanced analytics solutions that drive business value across the organization. In this role, you'll partner with cross-functional teams to solve complex business problems, uncover actionable insights, and transform data into scalable, data-driven solutions.

 

The ideal candidate has a strong foundation in statistics, machine learning, and programming, along with a passion for solving real-world challenges through data. If you enjoy working with large, complex datasets and collaborating to deliver innovative solutions, we'd love to hear from you.

 

 Machine Learning & Analytics

• Develop and deploy machine learning models and predictive analytics solutions.
• Build custom data models and algorithms to solve complex business problems.
• Apply statistical techniques and advanced analytics to generate actionable insights.
• Use data exploration techniques to identify trends and uncover new opportunities.

Business Partnership & Strategy

• Partner with stakeholders to understand business objectives and translate them into data-driven solutions.
• Identify opportunities for high-impact analytics initiatives that improve business performance.
• Develop expertise across Sales, Marketing, Engineering, Supply Chain, and Finance datasets.

 Data Management & Collaboration

• Merge, manage, and analyze large, complex datasets.
• Collaborate with cross-functional teams to implement models and monitor data quality and model performance.
• Develop and improve analytics processes, workflows, and best practices.
• Present findings through clear data visualizations and communicate insights to technical and non-technical audiences.

Teamwork & Leadership

• Foster a collaborative team environment through knowledge sharing and mentoring.
• Support continuous improvement initiatives and promote best practices.
• Build strong working relationships across the organization.

What We Are Looking For

• Bachelor’s degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field with 3+ years of experience in data science, analytics, machine learning, or a related discipline.
• Strong problem-solving skills with the ability to apply quantitative and qualitative analytical methods.
• Proficiency in Python, R, SQL, PySpark, or similar programming languages used for data analysis.
• Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers.
• Understanding of big data architectures, distributed computing concepts, and large-scale data processing.
• Experience working with relational databases and large, complex datasets.
• Strong communication skills with the ability to present analytical findings to technical and non-technical stakeholders.
• Experience with Spark MLlib and strong software development skills.
• Basic understanding of unstructured data analysis.
• Experience with data visualization tools such as Tableau, Power BI, or Qlik.

Preferred Qualifications

• Exposure to deep learning techniques.
• Experience with distributed deep learning frameworks such as TensorFlow, Horovod, or similar technologies.

What We Offer

Compensation: This is a salaried exempt role. The starting salary range for this role and market is between $88,000 - $115,500 annually. Factors that may affect starting salary include geography/market and the skills, education, experience, and other qualifications of the successful candidate. Employees in this role are also eligible for an annual bonus in accordance with the terms of the Company’s applicable plan. Employees in this role are not eligible for overtime.

 

Benefits: Subject to applicable eligibility requirements, the following benefits are offered for this role: tuition reimbursement; medical, dental, and vision insurance; prescription drug coverage; 401(k) retirement plan; short-term disability insurance; 8 weeks paid birthing leave; 2 weeks paid bonding leave; life and long-term disability insurance.

 

Depending on date of hire, and subject to applicable eligibility requirements, new employees in this role also receive up to: 12 days paid time off, 2 paid well-being days, 1 paid volunteer day, 12 paid holidays, and 3 floating holidays per year.

 

Our Culture: At Lennox, our Core Values of Integrity, Respect & Excellence are ingrained in the fabric of the organization. They define our culture – which is about how we do business and how we treat others. Lennox is not just a workplace; we are a global community that values each team member’s contributions. As an equal opportunity employer, we are committed to recruit, develop, and retain talented individuals from a wide range of backgrounds, ensuring that everyone has the opportunity to succeed and contribute to our continued growth and success. At Lennox, you’ll take pride in our brands, knowing you are part of something special. Come, stay, and grow with us! 

 

Disclaimers: The compensation and benefits information is accurate as of the date of this posting. Lennox reserves the right to modify this information at any time, with or without notice, subject to applicable law.

 

We may use automated tools, including artificial intelligence, to support parts of our hiring process, such as application review and interview scheduling. These tools assist our teams but do not replace human decision-making. If you need an accommodation or have questions, please contact [email protected].