Daikin Comfort · 14 hours ago
Data Scientist, Level 2
Waller, TX
Full-time
Onsite
Mid Level
3+ years expDaikin Comfort Technologies Mfg is seeking a professional, skilled individual for their Data Scientist position at the Waller, TX facility. The Data Scientist will transform data into actionable insights and predictive models, enhancing customer experience and driving long-term business value through data-driven decisions.
Consumer ElectronicsConsumer GoodsHeating Ventilation and Air Conditioning (HVAC)ManufacturingMechanical Engineering
No H1B
Responsibilities
Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights; creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies
Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
Engage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data
Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure and track key data points to enable data-driven decisions
Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions
Analyze and discern campaign execution, targeting and optimization of marketing investment to deliver sales and operating profit across brands
Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers to help them monitor, measure, or predict how the company is performing
Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise
Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Marketing is involved, and propose more efficient processes and procedures via process automation leveraging tech platforms
Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse
Provide data science support and ad hoc analysis to enterprise leadership as needed
Perform additional projects/duties to support ongoing business needs
Qualification
Required
3-5 years of work experience in a Marketing / Consulting / Business Analyst / Data Science role
Bachelor's degree (required) in Marketing / Business / Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis
Strong analytical skills with attention to detail; strong knowledge of statistical analysis, machine learning process, computer science principles, and basic programming principles
Moderate data storytelling ability – ability to produce actionable information/insights, not just data crunching
Strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization
Strong understanding of relational databases with experience in SQL – Microsoft SQL Server, Oracle, Postgres
Strong experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
Eager to make a big impact at a large company – you show up for work and get things done
Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too
Ability to grasp complex concepts and systems quickly
Ability to manage multiple projects and shift direction quickly
Intellectual curiosity and strong passion for using data to solve problems creatively
Ability to apply good judgment, strong work ethic, and integrity on the job
Preferred
Experience solving complex business problems involving a heavy amount of analytics / data science
Marketing-based experience preferred, but not required (either D2C or B2B performance marketing)
HVAC industry experience preferred, but not required
Master's degree (preferred) in Data Science / Business Administration / Marketing
Moderate experience with A/B testing and data science techniques to build and implement predictive models
Moderate experience with Python, R, Alteryx or other analytics platforms a plus (or similar applications)
Benefits
Benefits are effective on day one for all full-time direct hires.
Training programs are available to help guide team members and develop new skills.
Growth Opportunities - there are immense opportunities to grow your career.
You will be part of a Global Company - our family brands are backed by Daikin Industries, Ltd.
Company
Daikin Comfort
Daikin Comfort is an air conditioning manufacturing and service providing company.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Lisa Mestayer
Project Manager, CEO Staff
Shu Kawasaki
Director-CEO Staff
Recent News
2025-12-02
2025-09-17
Company data provided by crunchbase